{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/mirkoheinzel/Documents/Publications/Multi-bi/Survey/Survey_staff/JOP/1_submission/RR/CA/Post-accept/Replication_Final/Heinzel_Reinsberg_Siauwijaya_24_ACCEPT.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}20 Dec 2024, 09:35:35

{com}. do "/var/folders/yy/hvkr_fn55z919545kdqvjwxr0000gn/T//SD01116.000000"
{txt}
{com}. 
. ************************
. *Figure 1: IO selection*
. ************************
. 
. use "MOPAN_EM.dta", clear
{txt}(Contact: bernhard.reinsberg@glasgow.ac.uk)

{com}. twoway (scatter y1 EMLT, mlab(acr)) ,  scheme(plotplainblind) ytitle(Process performance) xtitle(Average earmarking share) legend(off) xline(0.6, lcolor(sky)) yline(0, lcolor(sky))
{res}{txt}
{com}. 
. *******************************
. *Figure 2: conjoint experiment*
. *******************************
. 
. use "Heinzel_Reinsberg_Siauwijaya_24_ACCEPT.dta", clear
{txt}
{com}. 
. *overhead
. cmp setup
{res}{txt}$cmp_out      = {res}0
{txt}$cmp_missing  = {res}.
{txt}$cmp_cont     = {res}1
{txt}$cmp_left     = {res}2
{txt}$cmp_right    = {res}3
{txt}$cmp_probit   = {res}4
{txt}$cmp_oprobit  = {res}5
{txt}$cmp_mprobit  = {res}6
{txt}$cmp_int      = {res}7
{txt}$cmp_trunc    = {res}8{txt}  (deprecated)
$cmp_roprobit = {res}9
{txt}$cmp_frac     = {res}10
{txt}
{com}. eststo m1: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( overhead_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe), indicators($cmp_cont $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,777
{txt}{hline 13}{c +}{hline 34}   F(12, 3764)     = {res}     8.14
{txt}       Model {c |} {res} 9.93239103        12  .827699252   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 382.638432     3,764  .101657394   {txt}R-squared       ={res}    0.0253
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0222
{txt}       Total {c |} {res} 392.570823     3,776  .103964731   {txt}Root MSE        =   {res} .31884

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0151412{col 33}{space 2} .0103895{col 44}{space 1}   -1.46{col 53}{space 3}0.145{col 61}{space 4}-.0355108{col 74}{space 3} .0052284
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0021123{col 33}{space 2} .0103948{col 44}{space 1}   -0.20{col 53}{space 3}0.839{col 61}{space 4}-.0224923{col 74}{space 3} .0182677
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0047392{col 33}{space 2} .0103844{col 44}{space 1}    0.46{col 53}{space 3}0.648{col 61}{space 4}-.0156204{col 74}{space 3} .0250989
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0267607{col 33}{space 2} .0103846{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0471207{col 74}{space 3}-.0064008
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0411227{col 33}{space 2} .0103837{col 44}{space 1}   -3.96{col 53}{space 3}0.000{col 61}{space 4}-.0614809{col 74}{space 3}-.0207644
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0271724{col 33}{space 2} .0103853{col 44}{space 1}    2.62{col 53}{space 3}0.009{col 61}{space 4}  .006811{col 74}{space 3} .0475338
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2012098{col 33}{space 2} .0666451{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4} .0705458{col 74}{space 3} .3318738
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0767903{col 33}{space 2} .0178859{col 44}{space 1}   -4.29{col 53}{space 3}0.000{col 61}{space 4}-.1118573{col 74}{space 3}-.0417232
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0759744{col 33}{space 2} .0166437{col 44}{space 1}   -4.56{col 53}{space 3}0.000{col 61}{space 4} -.108606{col 74}{space 3}-.0433427
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0670914{col 33}{space 2} .0340767{col 44}{space 1}    1.97{col 53}{space 3}0.049{col 61}{space 4} .0002807{col 74}{space 3}  .133902
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1005365{col 33}{space 2} .0245098{col 44}{space 1}   -4.10{col 53}{space 3}0.000{col 61}{space 4}-.1485903{col 74}{space 3}-.0524826
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0945746{col 33}{space 2} .0185378{col 44}{space 1}   -5.10{col 53}{space 3}0.000{col 61}{space 4}-.1309197{col 74}{space 3}-.0582296
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2100799{col 33}{space 2} .0191019{col 44}{space 1}   11.00{col 53}{space 3}0.000{col 61}{space 4} .1726288{col 74}{space 3} .2475309
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,517
{txt}{hline 13}{c +}{hline 34}   F(12, 3504)     = {res}    18.45
{txt}       Model {c |} {res} 66577.6973        12  5548.14144   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1053894.46     3,504  300.768966   {txt}R-squared       ={res}    0.0594
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0562
{txt}       Total {c |} {res} 1120472.15     3,516  318.678087   {txt}Root MSE        =   {res} 17.343

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1891472{col 33}{space 2}   .58628{col 44}{space 1}   -0.32{col 53}{space 3}0.747{col 61}{space 4}-1.338632{col 74}{space 3} .9603376
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7697317{col 33}{space 2} .5861338{col 44}{space 1}    1.31{col 53}{space 3}0.189{col 61}{space 4}-.3794665{col 74}{space 3}  1.91893
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2618454{col 33}{space 2} .5861812{col 44}{space 1}   -0.45{col 53}{space 3}0.655{col 61}{space 4}-1.411136{col 74}{space 3} .8874457
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  -.00318{col 33}{space 2} .5855543{col 44}{space 1}   -0.01{col 53}{space 3}0.996{col 61}{space 4}-1.151242{col 74}{space 3} 1.144882
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .3977909{col 33}{space 2} .5858588{col 44}{space 1}    0.68{col 53}{space 3}0.497{col 61}{space 4} -.750868{col 74}{space 3}  1.54645
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.8551153{col 33}{space 2} .5856312{col 44}{space 1}   -1.46{col 53}{space 3}0.144{col 61}{space 4}-2.003328{col 74}{space 3} .2930974
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-5.817598{col 33}{space 2} 4.558818{col 44}{space 1}   -1.28{col 53}{space 3}0.202{col 61}{space 4}-14.75581{col 74}{space 3} 3.120609
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 7.755069{col 33}{space 2} 1.030774{col 44}{space 1}    7.52{col 53}{space 3}0.000{col 61}{space 4} 5.734092{col 74}{space 3} 9.776046
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-2.724163{col 33}{space 2} .9599084{col 44}{space 1}   -2.84{col 53}{space 3}0.005{col 61}{space 4}-4.606199{col 74}{space 3}-.8421268
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.931397{col 33}{space 2} 2.067297{col 44}{space 1}   -1.42{col 53}{space 3}0.156{col 61}{space 4}-6.984625{col 74}{space 3} 1.121831
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-4.728951{col 33}{space 2} 1.378856{col 44}{space 1}   -3.43{col 53}{space 3}0.001{col 61}{space 4}-7.432392{col 74}{space 3}-2.025509
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.560462{col 33}{space 2} 1.063398{col 44}{space 1}   -1.47{col 53}{space 3}0.142{col 61}{space 4}-3.645404{col 74}{space 3}   .52448
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 15.70494{col 33}{space 2} 1.100385{col 44}{space 1}   14.27{col 53}{space 3}0.000{col 61}{space 4} 13.54748{col 74}{space 3}  17.8624
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res: -16050.85}  
Iteration 1:{space 3}log likelihood = {res:-16049.776}  
Iteration 2:{space 3}log likelihood = {res:-16049.774}  
Iteration 3:{space 3}log likelihood = {res:-16049.774}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    314.42
{txt}Log likelihood = {res}-16049.774{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0151954{col 33}{space 2} .0103709{col 44}{space 1}   -1.47{col 53}{space 3}0.143{col 61}{space 4}-.0355219{col 74}{space 3} .0051311
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0022478{col 33}{space 2} .0103762{col 44}{space 1}   -0.22{col 53}{space 3}0.828{col 61}{space 4}-.0225849{col 74}{space 3} .0180892
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0046282{col 33}{space 2} .0103659{col 44}{space 1}    0.45{col 53}{space 3}0.655{col 61}{space 4}-.0156885{col 74}{space 3} .0249449
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0267753{col 33}{space 2} .0103659{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0470921{col 74}{space 3}-.0064584
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0412616{col 33}{space 2} .0103652{col 44}{space 1}   -3.98{col 53}{space 3}0.000{col 61}{space 4} -.061577{col 74}{space 3}-.0209463
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0272457{col 33}{space 2} .0103667{col 44}{space 1}    2.63{col 53}{space 3}0.009{col 61}{space 4} .0069274{col 74}{space 3} .0475641
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2012701{col 33}{space 2}  .066529{col 44}{space 1}    3.03{col 53}{space 3}0.002{col 61}{space 4} .0708758{col 74}{space 3} .3316645
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0766507{col 33}{space 2} .0178546{col 44}{space 1}   -4.29{col 53}{space 3}0.000{col 61}{space 4} -.111645{col 74}{space 3}-.0416563
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0759023{col 33}{space 2} .0166141{col 44}{space 1}   -4.57{col 53}{space 3}0.000{col 61}{space 4}-.1084654{col 74}{space 3}-.0433392
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0671429{col 33}{space 2} .0340173{col 44}{space 1}    1.97{col 53}{space 3}0.048{col 61}{space 4} .0004703{col 74}{space 3} .1338156
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1008402{col 33}{space 2}  .024465{col 44}{space 1}   -4.12{col 53}{space 3}0.000{col 61}{space 4}-.1487906{col 74}{space 3}-.0528897
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0945671{col 33}{space 2} .0185052{col 44}{space 1}   -5.11{col 53}{space 3}0.000{col 61}{space 4}-.1308367{col 74}{space 3}-.0582975
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2102428{col 33}{space 2} .0190682{col 44}{space 1}   11.03{col 53}{space 3}0.000{col 61}{space 4} .1728699{col 74}{space 3} .2476157
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1391453{col 33}{space 2} .5865766{col 44}{space 1}   -0.24{col 53}{space 3}0.812{col 61}{space 4}-1.288814{col 74}{space 3} 1.010524
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .810926{col 33}{space 2} .5863501{col 44}{space 1}    1.38{col 53}{space 3}0.167{col 61}{space 4}-.3382991{col 74}{space 3} 1.960151
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.269601{col 33}{space 2} .5862263{col 44}{space 1}   -0.46{col 53}{space 3}0.646{col 61}{space 4}-1.418583{col 74}{space 3} .8793814
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .1381246{col 33}{space 2} .5876409{col 44}{space 1}    0.24{col 53}{space 3}0.814{col 61}{space 4} -1.01363{col 74}{space 3}  1.28988
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}   .52139{col 33}{space 2} .5874627{col 44}{space 1}    0.89{col 53}{space 3}0.375{col 61}{space 4}-.6300157{col 74}{space 3} 1.672796
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} -.954491{col 33}{space 2}  .586685{col 44}{space 1}   -1.63{col 53}{space 3}0.104{col 61}{space 4}-2.104372{col 74}{space 3} .1953905
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} -6.97021{col 33}{space 2} 4.572215{col 44}{space 1}   -1.52{col 53}{space 3}0.127{col 61}{space 4}-15.93159{col 74}{space 3} 1.991167
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 8.034242{col 33}{space 2}  1.03528{col 44}{space 1}    7.76{col 53}{space 3}0.000{col 61}{space 4} 6.005132{col 74}{space 3} 10.06335
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-2.477549{col 33}{space 2} .9636587{col 44}{space 1}   -2.57{col 53}{space 3}0.010{col 61}{space 4}-4.366285{col 74}{space 3}-.5888123
{txt}{space 17}5  {c |}{col 21}{res}{space 2} -3.25937{col 33}{space 2} 2.069774{col 44}{space 1}   -1.57{col 53}{space 3}0.115{col 61}{space 4}-7.316052{col 74}{space 3} .7973125
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-4.449261{col 33}{space 2} 1.382319{col 44}{space 1}   -3.22{col 53}{space 3}0.001{col 61}{space 4}-7.158555{col 74}{space 3}-1.739966
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.228941{col 33}{space 2} 1.069593{col 44}{space 1}   -1.15{col 53}{space 3}0.251{col 61}{space 4}-3.325306{col 74}{space 3} .8674235
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 15.00377{col 33}{space 2} 1.126863{col 44}{space 1}   13.31{col 53}{space 3}0.000{col 61}{space 4} 12.79516{col 74}{space 3} 17.21238
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2}-1.144817{col 33}{space 2} .0115052{col 44}{space 1}  -99.50{col 53}{space 3}0.000{col 61}{space 4}-1.167367{col 74}{space 3}-1.122267
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} 2.853531{col 33}{space 2} .0120728{col 44}{space 1}  236.36{col 53}{space 3}0.000{col 61}{space 4} 2.829869{col 74}{space 3} 2.877194
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.0828804{col 33}{space 2} .0286957{col 44}{space 1}   -2.89{col 53}{space 3}0.004{col 61}{space 4}-.1391229{col 74}{space 3}-.0266379
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .3182821{col 33}{space 2} .0036619{col 61}{space 4} .3111852{col 74}{space 3} .3255409
{txt}              sig_2 {c |}{col 21}{res}{space 2} 17.34894{col 33}{space 2} .2094505{col 61}{space 4} 16.94324{col 74}{space 3} 17.76435
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.0826912{col 33}{space 2} .0284995{col 61}{space 4}-.1382323{col 74}{space 3}-.0266316
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country own_area project sector length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5003909 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4996091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5011728 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4988272 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993484 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006516 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4949179 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5050821 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4980453 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5019547 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5053427 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4946573 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1329163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0062549 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 4}.223091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3554861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0276257 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0690644 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1855616 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1251998{col 33}{space 2} .0073189{col 44}{space 1}   17.11{col 53}{space 3}0.000{col 61}{space 4}  .110855{col 74}{space 3} .1395446
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1100044{col 33}{space 2} .0073389{col 44}{space 1}   14.99{col 53}{space 3}0.000{col 61}{space 4} .0956205{col 74}{space 3} .1243883
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1311317{col 33}{space 2} .0073704{col 44}{space 1}   17.79{col 53}{space 3}0.000{col 61}{space 4}  .116686{col 74}{space 3} .1455775
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1043565{col 33}{space 2} .0072841{col 44}{space 1}   14.33{col 53}{space 3}0.000{col 61}{space 4} .0900799{col 74}{space 3}  .118633
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1152909{col 33}{space 2} .0073304{col 44}{space 1}   15.73{col 53}{space 3}0.000{col 61}{space 4} .1009235{col 74}{space 3} .1296583
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1199191{col 33}{space 2} .0073238{col 44}{space 1}   16.37{col 53}{space 3}0.000{col 61}{space 4} .1055647{col 74}{space 3} .1342735
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1187293{col 33}{space 2} .0073231{col 44}{space 1}   16.21{col 53}{space 3}0.000{col 61}{space 4} .1043762{col 74}{space 3} .1330824
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1164815{col 33}{space 2} .0073384{col 44}{space 1}   15.87{col 53}{space 3}0.000{col 61}{space 4} .1020984{col 74}{space 3} .1308646
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1383195{col 33}{space 2} .0073354{col 44}{space 1}   18.86{col 53}{space 3}0.000{col 61}{space 4} .1239424{col 74}{space 3} .1526966
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0970579{col 33}{space 2} .0073184{col 44}{space 1}   13.26{col 53}{space 3}0.000{col 61}{space 4} .0827142{col 74}{space 3} .1114016
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1041307{col 33}{space 2}  .007286{col 44}{space 1}   14.29{col 53}{space 3}0.000{col 61}{space 4} .0898505{col 74}{space 3}  .118411
{txt}Private foundation  {c |}{col 21}{res}{space 2} .1313765{col 33}{space 2} .0073691{col 44}{space 1}   17.83{col 53}{space 3}0.000{col 61}{space 4} .1169333{col 74}{space 3} .1458196
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2}  .183089{col 33}{space 2} .0141247{col 44}{space 1}   12.96{col 53}{space 3}0.000{col 61}{space 4} .1554052{col 74}{space 3} .2107729
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .3843592{col 33}{space 2} .0650134{col 44}{space 1}    5.91{col 53}{space 3}0.000{col 61}{space 4} .2569352{col 74}{space 3} .5117831
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1064384{col 33}{space 2} .0109181{col 44}{space 1}    9.75{col 53}{space 3}0.000{col 61}{space 4} .0850393{col 74}{space 3} .1278374
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1071867{col 33}{space 2} .0087475{col 44}{space 1}   12.25{col 53}{space 3}0.000{col 61}{space 4}  .090042{col 74}{space 3} .1243314
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2502319{col 33}{space 2} .0309409{col 44}{space 1}    8.09{col 53}{space 3}0.000{col 61}{space 4} .1895889{col 74}{space 3} .3108749
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0822489{col 33}{space 2} .0199809{col 44}{space 1}    4.12{col 53}{space 3}0.000{col 61}{space 4} .0430869{col 74}{space 3} .1214108
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0885219{col 33}{space 2} .0119513{col 44}{space 1}    7.41{col 53}{space 3}0.000{col 61}{space 4} .0650979{col 74}{space 3}  .111946
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead1
{txt}
{com}. 
. eststo m2: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( overhead_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe)  , indicators($cmp_probit $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-1369.3725}  
Iteration 1:{space 3}log likelihood = {res:-1326.6164}  
Iteration 2:{space 3}log likelihood = {res:-1326.2677}  
Iteration 3:{space 3}log likelihood = {res:-1326.2676}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     3,777
{txt}{col 49}LR chi2({res}12{txt}){col 67}= {res}     86.21
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1326.2676{txt}{col 49}Pseudo R2{col 67}= {res}    0.0315

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0781343{col 33}{space 2} .0541271{col 44}{space 1}   -1.44{col 53}{space 3}0.149{col 61}{space 4}-.1842215{col 74}{space 3} .0279529
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0099949{col 33}{space 2}   .05413{col 44}{space 1}   -0.18{col 53}{space 3}0.854{col 61}{space 4}-.1160878{col 74}{space 3}  .096098
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0236655{col 33}{space 2} .0540365{col 44}{space 1}    0.44{col 53}{space 3}0.661{col 61}{space 4}-.0822441{col 74}{space 3} .1295751
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1439533{col 33}{space 2} .0541703{col 44}{space 1}   -2.66{col 53}{space 3}0.008{col 61}{space 4}-.2501252{col 74}{space 3}-.0377815
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2144487{col 33}{space 2} .0543363{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.3209459{col 74}{space 3}-.1079516
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1358982{col 33}{space 2} .0541536{col 44}{space 1}    2.51{col 53}{space 3}0.012{col 61}{space 4}  .029759{col 74}{space 3} .2420373
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .6454714{col 33}{space 2} .2684865{col 44}{space 1}    2.40{col 53}{space 3}0.016{col 61}{space 4} .1192476{col 74}{space 3} 1.171695
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3435499{col 33}{space 2} .0869547{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.5139779{col 74}{space 3}-.1731219
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3433906{col 33}{space 2} .0799382{col 44}{space 1}   -4.30{col 53}{space 3}0.000{col 61}{space 4}-.5000667{col 74}{space 3}-.1867146
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2344987{col 33}{space 2} .1493771{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4}-.0582751{col 74}{space 3} .5272724
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4966062{col 33}{space 2} .1319624{col 44}{space 1}   -3.76{col 53}{space 3}0.000{col 61}{space 4}-.7552478{col 74}{space 3}-.2379645
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4520035{col 33}{space 2} .0935171{col 44}{space 1}   -4.83{col 53}{space 3}0.000{col 61}{space 4}-.6352937{col 74}{space 3}-.2687133
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7683601{col 33}{space 2} .0929148{col 44}{space 1}   -8.27{col 53}{space 3}0.000{col 61}{space 4}-.9504698{col 74}{space 3}-.5862505
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,517
{txt}{hline 13}{c +}{hline 34}   F(12, 3504)     = {res}    18.45
{txt}       Model {c |} {res} 66577.6973        12  5548.14144   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1053894.46     3,504  300.768966   {txt}R-squared       ={res}    0.0594
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0562
{txt}       Total {c |} {res} 1120472.15     3,516  318.678087   {txt}Root MSE        =   {res} 17.343

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1891472{col 33}{space 2}   .58628{col 44}{space 1}   -0.32{col 53}{space 3}0.747{col 61}{space 4}-1.338632{col 74}{space 3} .9603376
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7697317{col 33}{space 2} .5861338{col 44}{space 1}    1.31{col 53}{space 3}0.189{col 61}{space 4}-.3794665{col 74}{space 3}  1.91893
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2618454{col 33}{space 2} .5861812{col 44}{space 1}   -0.45{col 53}{space 3}0.655{col 61}{space 4}-1.411136{col 74}{space 3} .8874457
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  -.00318{col 33}{space 2} .5855543{col 44}{space 1}   -0.01{col 53}{space 3}0.996{col 61}{space 4}-1.151242{col 74}{space 3} 1.144882
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .3977909{col 33}{space 2} .5858588{col 44}{space 1}    0.68{col 53}{space 3}0.497{col 61}{space 4} -.750868{col 74}{space 3}  1.54645
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.8551153{col 33}{space 2} .5856312{col 44}{space 1}   -1.46{col 53}{space 3}0.144{col 61}{space 4}-2.003328{col 74}{space 3} .2930974
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-5.817598{col 33}{space 2} 4.558818{col 44}{space 1}   -1.28{col 53}{space 3}0.202{col 61}{space 4}-14.75581{col 74}{space 3} 3.120609
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 7.755069{col 33}{space 2} 1.030774{col 44}{space 1}    7.52{col 53}{space 3}0.000{col 61}{space 4} 5.734092{col 74}{space 3} 9.776046
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-2.724163{col 33}{space 2} .9599084{col 44}{space 1}   -2.84{col 53}{space 3}0.005{col 61}{space 4}-4.606199{col 74}{space 3}-.8421268
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.931397{col 33}{space 2} 2.067297{col 44}{space 1}   -1.42{col 53}{space 3}0.156{col 61}{space 4}-6.984625{col 74}{space 3} 1.121831
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-4.728951{col 33}{space 2} 1.378856{col 44}{space 1}   -3.43{col 53}{space 3}0.001{col 61}{space 4}-7.432392{col 74}{space 3}-2.025509
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.560462{col 33}{space 2} 1.063398{col 44}{space 1}   -1.47{col 53}{space 3}0.142{col 61}{space 4}-3.645404{col 74}{space 3}   .52448
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 15.70494{col 33}{space 2} 1.100385{col 44}{space 1}   14.27{col 53}{space 3}0.000{col 61}{space 4} 13.54748{col 74}{space 3}  17.8624
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res:-16342.497}  
Iteration 1:{space 3}log likelihood = {res:-16333.198}  
Iteration 2:{space 3}log likelihood = {res: -16311.15}  
Iteration 3:{space 3}log likelihood = {res: -16307.79}  
Iteration 4:{space 3}log likelihood = {res:-16307.781}  
Iteration 5:{space 3}log likelihood = {res:-16307.781}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    289.16
{txt}Log likelihood = {res}-16307.781{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0731379{col 33}{space 2} .0482041{col 44}{space 1}   -1.52{col 53}{space 3}0.129{col 61}{space 4}-.1676162{col 74}{space 3} .0213404
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .010371{col 33}{space 2} .0481896{col 44}{space 1}    0.22{col 53}{space 3}0.830{col 61}{space 4} -.084079{col 74}{space 3} .1048209
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0133426{col 33}{space 2} .0480832{col 44}{space 1}    0.28{col 53}{space 3}0.781{col 61}{space 4}-.0808987{col 74}{space 3} .1075838
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0931999{col 33}{space 2} .0483345{col 44}{space 1}   -1.93{col 53}{space 3}0.054{col 61}{space 4}-.1879337{col 74}{space 3}  .001534
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.1849271{col 33}{space 2} .0484065{col 44}{space 1}   -3.82{col 53}{space 3}0.000{col 61}{space 4} -.279802{col 74}{space 3}-.0900522
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1180839{col 33}{space 2} .0482036{col 44}{space 1}    2.45{col 53}{space 3}0.014{col 61}{space 4} .0236066{col 74}{space 3} .2125613
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .6566017{col 33}{space 2} .2607602{col 44}{space 1}    2.52{col 53}{space 3}0.012{col 61}{space 4} .1455212{col 74}{space 3} 1.167682
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3772553{col 33}{space 2} .0781914{col 44}{space 1}   -4.82{col 53}{space 3}0.000{col 61}{space 4}-.5305077{col 74}{space 3}-.2240029
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.1890963{col 33}{space 2} .0731448{col 44}{space 1}   -2.59{col 53}{space 3}0.010{col 61}{space 4}-.3324574{col 74}{space 3}-.0457352
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2693359{col 33}{space 2}  .140629{col 44}{space 1}    1.92{col 53}{space 3}0.055{col 61}{space 4}-.0062919{col 74}{space 3} .5449638
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.2844476{col 33}{space 2} .1213103{col 44}{space 1}   -2.34{col 53}{space 3}0.019{col 61}{space 4}-.5222115{col 74}{space 3}-.0466837
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.3205246{col 33}{space 2} .0851515{col 44}{space 1}   -3.76{col 53}{space 3}0.000{col 61}{space 4}-.4874186{col 74}{space 3}-.1536307
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7352048{col 33}{space 2} .0843549{col 44}{space 1}   -8.72{col 53}{space 3}0.000{col 61}{space 4}-.9005373{col 74}{space 3}-.5698723
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0178911{col 33}{space 2} .6007171{col 44}{space 1}    0.03{col 53}{space 3}0.976{col 61}{space 4}-1.159493{col 74}{space 3} 1.195275
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.010766{col 33}{space 2} .6006957{col 44}{space 1}    1.68{col 53}{space 3}0.092{col 61}{space 4}-.1665758{col 74}{space 3} 2.188108
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2999217{col 33}{space 2} .6004765{col 44}{space 1}   -0.50{col 53}{space 3}0.617{col 61}{space 4}-1.476834{col 74}{space 3} .8769907
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7050168{col 33}{space 2} .6005389{col 44}{space 1}    1.17{col 53}{space 3}0.240{col 61}{space 4}-.4720177{col 74}{space 3} 1.882051
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}   .92768{col 33}{space 2} .6004747{col 44}{space 1}    1.54{col 53}{space 3}0.122{col 61}{space 4}-.2492287{col 74}{space 3} 2.104589
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-1.290453{col 33}{space 2} .6003101{col 44}{space 1}   -2.15{col 53}{space 3}0.032{col 61}{space 4}-2.467039{col 74}{space 3}-.1138671
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-10.59571{col 33}{space 2} 4.440917{col 44}{space 1}   -2.39{col 53}{space 3}0.017{col 61}{space 4}-19.29974{col 74}{space 3}-1.891669
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 8.949837{col 33}{space 2} 1.050894{col 44}{space 1}    8.52{col 53}{space 3}0.000{col 61}{space 4} 6.890123{col 74}{space 3} 11.00955
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -1.53825{col 33}{space 2} .9778944{col 44}{space 1}   -1.57{col 53}{space 3}0.116{col 61}{space 4}-3.454888{col 74}{space 3} .3783877
{txt}{space 17}5  {c |}{col 21}{res}{space 2} -4.21073{col 33}{space 2} 2.076496{col 44}{space 1}   -2.03{col 53}{space 3}0.043{col 61}{space 4}-8.280588{col 74}{space 3}-.1408713
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.387384{col 33}{space 2} 1.411923{col 44}{space 1}   -2.40{col 53}{space 3}0.016{col 61}{space 4}-6.154702{col 74}{space 3}-.6200654
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0107883{col 33}{space 2} 1.086855{col 44}{space 1}   -0.01{col 53}{space 3}0.992{col 61}{space 4}-2.140985{col 74}{space 3} 2.119408
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 12.27119{col 33}{space 2}  1.12639{col 44}{space 1}   10.89{col 53}{space 3}0.000{col 61}{space 4}  10.0635{col 74}{space 3} 14.47887
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2} 2.893953{col 33}{space 2} .0126671{col 44}{space 1}  228.46{col 53}{space 3}0.000{col 61}{space 4} 2.869126{col 74}{space 3}  2.91878
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.9102788{col 33}{space 2} .0490813{col 44}{space 1}  -18.55{col 53}{space 3}0.000{col 61}{space 4}-1.006476{col 74}{space 3}-.8140813
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 18.06458{col 33}{space 2}  .228825{col 61}{space 4} 17.62161{col 74}{space 3} 18.51868
{txt}             rho_12 {c |}{col 21}{res}{space 2} -.721266{col 33}{space 2}  .023548{col 61}{space 4}-.7643007{col 74}{space 3}-.6718355
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country own_area project sector length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5003909 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4996091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5011728 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4988272 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993484 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006516 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4949179 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5050821 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4980453 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5019547 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5053427 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4946573 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1329163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0062549 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 4}.223091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3554861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0276257 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0690644 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1855616 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.83989{col 33}{space 2} .4293233{col 44}{space 1}   32.24{col 53}{space 3}0.000{col 61}{space 4} 12.99844{col 74}{space 3} 14.68135
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 13.85779{col 33}{space 2} .4266737{col 44}{space 1}   32.48{col 53}{space 3}0.000{col 61}{space 4} 13.02152{col 74}{space 3} 14.69405
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.49274{col 33}{space 2} .4340051{col 44}{space 1}   31.09{col 53}{space 3}0.000{col 61}{space 4} 12.64211{col 74}{space 3} 14.34338
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.19776{col 33}{space 2} .4218888{col 44}{space 1}   33.65{col 53}{space 3}0.000{col 61}{space 4} 13.37087{col 74}{space 3} 15.02465
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.99899{col 33}{space 2} .4278569{col 44}{space 1}   32.72{col 53}{space 3}0.000{col 61}{space 4} 13.16041{col 74}{space 3} 14.83757
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 13.69907{col 33}{space 2} .4279771{col 44}{space 1}   32.01{col 53}{space 3}0.000{col 61}{space 4} 12.86025{col 74}{space 3} 14.53789
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.34464{col 33}{space 2} .4287362{col 44}{space 1}   31.13{col 53}{space 3}0.000{col 61}{space 4} 12.50433{col 74}{space 3} 14.18494
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  14.3554{col 33}{space 2} .4272461{col 44}{space 1}   33.60{col 53}{space 3}0.000{col 61}{space 4} 13.51801{col 74}{space 3} 15.19279
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 13.38318{col 33}{space 2} .4320753{col 44}{space 1}   30.97{col 53}{space 3}0.000{col 61}{space 4} 12.53633{col 74}{space 3} 14.23003
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 14.31086{col 33}{space 2} .4237467{col 44}{space 1}   33.77{col 53}{space 3}0.000{col 61}{space 4} 13.48033{col 74}{space 3} 15.14139
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 14.48717{col 33}{space 2} .4227023{col 44}{space 1}   34.27{col 53}{space 3}0.000{col 61}{space 4} 13.65868{col 74}{space 3} 15.31565
{txt}Private foundation  {c |}{col 21}{res}{space 2} 13.19671{col 33}{space 2} .4330394{col 44}{space 1}   30.47{col 53}{space 3}0.000{col 61}{space 4} 12.34797{col 74}{space 3} 14.04545
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 12.81758{col 33}{space 2} .8432558{col 44}{space 1}   15.20{col 53}{space 3}0.000{col 61}{space 4} 11.16483{col 74}{space 3} 14.47033
{txt}{space 17}2  {c |}{col 21}{res}{space 2} 2.221875{col 33}{space 2} 4.365816{col 44}{space 1}    0.51{col 53}{space 3}0.611{col 61}{space 4}-6.334968{col 74}{space 3} 10.77872
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 21.76742{col 33}{space 2} .6340026{col 44}{space 1}   34.33{col 53}{space 3}0.000{col 61}{space 4}  20.5248{col 74}{space 3} 23.01004
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 11.27933{col 33}{space 2} .5034031{col 44}{space 1}   22.41{col 53}{space 3}0.000{col 61}{space 4} 10.29268{col 74}{space 3} 12.26598
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 8.606851{col 33}{space 2} 1.904206{col 44}{space 1}    4.52{col 53}{space 3}0.000{col 61}{space 4} 4.874676{col 74}{space 3} 12.33903
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 9.430197{col 33}{space 2} 1.136158{col 44}{space 1}    8.30{col 53}{space 3}0.000{col 61}{space 4} 7.203368{col 74}{space 3} 11.65703
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 12.80679{col 33}{space 2} .6902982{col 44}{space 1}   18.55{col 53}{space 3}0.000{col 61}{space 4} 11.45383{col 74}{space 3} 14.15975
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead2
{txt}
{com}. 
. *amount
. eststo m3: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( amount_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe)  , indicators($cmp_cont $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,777
{txt}{hline 13}{c +}{hline 34}   F(12, 3764)     = {res}     8.14
{txt}       Model {c |} {res} 9.93239103        12  .827699252   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 382.638432     3,764  .101657394   {txt}R-squared       ={res}    0.0253
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0222
{txt}       Total {c |} {res} 392.570823     3,776  .103964731   {txt}Root MSE        =   {res} .31884

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0151412{col 33}{space 2} .0103895{col 44}{space 1}   -1.46{col 53}{space 3}0.145{col 61}{space 4}-.0355108{col 74}{space 3} .0052284
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0021123{col 33}{space 2} .0103948{col 44}{space 1}   -0.20{col 53}{space 3}0.839{col 61}{space 4}-.0224923{col 74}{space 3} .0182677
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0047392{col 33}{space 2} .0103844{col 44}{space 1}    0.46{col 53}{space 3}0.648{col 61}{space 4}-.0156204{col 74}{space 3} .0250989
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0267607{col 33}{space 2} .0103846{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0471207{col 74}{space 3}-.0064008
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0411227{col 33}{space 2} .0103837{col 44}{space 1}   -3.96{col 53}{space 3}0.000{col 61}{space 4}-.0614809{col 74}{space 3}-.0207644
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0271724{col 33}{space 2} .0103853{col 44}{space 1}    2.62{col 53}{space 3}0.009{col 61}{space 4}  .006811{col 74}{space 3} .0475338
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2012098{col 33}{space 2} .0666451{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4} .0705458{col 74}{space 3} .3318738
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0767903{col 33}{space 2} .0178859{col 44}{space 1}   -4.29{col 53}{space 3}0.000{col 61}{space 4}-.1118573{col 74}{space 3}-.0417232
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0759744{col 33}{space 2} .0166437{col 44}{space 1}   -4.56{col 53}{space 3}0.000{col 61}{space 4} -.108606{col 74}{space 3}-.0433427
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0670914{col 33}{space 2} .0340767{col 44}{space 1}    1.97{col 53}{space 3}0.049{col 61}{space 4} .0002807{col 74}{space 3}  .133902
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1005365{col 33}{space 2} .0245098{col 44}{space 1}   -4.10{col 53}{space 3}0.000{col 61}{space 4}-.1485903{col 74}{space 3}-.0524826
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0945746{col 33}{space 2} .0185378{col 44}{space 1}   -5.10{col 53}{space 3}0.000{col 61}{space 4}-.1309197{col 74}{space 3}-.0582296
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2100799{col 33}{space 2} .0191019{col 44}{space 1}   11.00{col 53}{space 3}0.000{col 61}{space 4} .1726288{col 74}{space 3} .2475309
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,421
{txt}{hline 13}{c +}{hline 34}   F(12, 3408)     = {res}     3.83
{txt}       Model {c |} {res} 56796.0747        12  4733.00622   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4211001.19     3,408  1235.62242   {txt}R-squared       ={res}    0.0133
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0098
{txt}       Total {c |} {res} 4267797.27     3,420  1247.89394   {txt}Root MSE        =   {res} 35.151

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .2076079{col 33}{space 2} 1.203928{col 44}{space 1}    0.17{col 53}{space 3}0.863{col 61}{space 4}-2.152886{col 74}{space 3} 2.568102
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.623056{col 33}{space 2} 1.204481{col 44}{space 1}    1.35{col 53}{space 3}0.178{col 61}{space 4}-.7385227{col 74}{space 3} 3.984635
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1958866{col 33}{space 2} 1.204539{col 44}{space 1}   -0.16{col 53}{space 3}0.871{col 61}{space 4}-2.557578{col 74}{space 3} 2.165805
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0614894{col 33}{space 2}  1.20346{col 44}{space 1}   -0.05{col 53}{space 3}0.959{col 61}{space 4}-2.421066{col 74}{space 3} 2.298087
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.412889{col 33}{space 2}  1.20422{col 44}{space 1}    1.17{col 53}{space 3}0.241{col 61}{space 4}-.9481774{col 74}{space 3} 3.773955
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  2.21592{col 33}{space 2} 1.203244{col 44}{space 1}    1.84{col 53}{space 3}0.066{col 61}{space 4}-.1432329{col 74}{space 3} 4.575073
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-3.162305{col 33}{space 2} 8.245734{col 44}{space 1}   -0.38{col 53}{space 3}0.701{col 61}{space 4}-19.32939{col 74}{space 3} 13.00478
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 8.349002{col 33}{space 2} 2.104311{col 44}{space 1}    3.97{col 53}{space 3}0.000{col 61}{space 4} 4.223163{col 74}{space 3} 12.47484
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.2452949{col 33}{space 2} 1.967889{col 44}{space 1}   -0.12{col 53}{space 3}0.901{col 61}{space 4}-4.103657{col 74}{space 3} 3.613067
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-3.015254{col 33}{space 2} 4.094407{col 44}{space 1}   -0.74{col 53}{space 3}0.462{col 61}{space 4}-11.04299{col 74}{space 3} 5.012487
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.899735{col 33}{space 2} 2.851593{col 44}{space 1}   -1.02{col 53}{space 3}0.309{col 61}{space 4} -8.49074{col 74}{space 3}  2.69127
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.350985{col 33}{space 2} 2.169712{col 44}{space 1}    1.54{col 53}{space 3}0.123{col 61}{space 4}-.9030837{col 74}{space 3} 7.605053
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  3.03621{col 33}{space 2} 2.244401{col 44}{space 1}    1.35{col 53}{space 3}0.176{col 61}{space 4}-1.364297{col 74}{space 3} 7.436717
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}amount_clean{res} equation appears ill-conditioned. (Condition number = 20.774531.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res:-18059.409}  
Iteration 1:{space 3}log likelihood = {res:-18054.222}  
Iteration 2:{space 3}log likelihood = {res: -18051.58}  
Iteration 3:{space 3}log likelihood = {res:-18051.566}  
Iteration 4:{space 3}log likelihood = {res:-18051.566}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    140.11
{txt}Log likelihood = {res}-18051.566{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0162073{col 33}{space 2} .0104019{col 44}{space 1}   -1.56{col 53}{space 3}0.119{col 61}{space 4}-.0365945{col 74}{space 3}   .00418
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0023023{col 33}{space 2} .0104059{col 44}{space 1}   -0.22{col 53}{space 3}0.825{col 61}{space 4}-.0226974{col 74}{space 3} .0180928
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0038877{col 33}{space 2} .0103966{col 44}{space 1}    0.37{col 53}{space 3}0.708{col 61}{space 4}-.0164892{col 74}{space 3} .0242645
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0279919{col 33}{space 2} .0103978{col 44}{space 1}   -2.69{col 53}{space 3}0.007{col 61}{space 4}-.0483713{col 74}{space 3}-.0076125
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0417939{col 33}{space 2} .0103952{col 44}{space 1}   -4.02{col 53}{space 3}0.000{col 61}{space 4}-.0621682{col 74}{space 3}-.0214197
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0272142{col 33}{space 2} .0103961{col 44}{space 1}    2.62{col 53}{space 3}0.009{col 61}{space 4} .0068382{col 74}{space 3} .0475902
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .1997739{col 33}{space 2} .0663879{col 44}{space 1}    3.01{col 53}{space 3}0.003{col 61}{space 4}  .069656{col 74}{space 3} .3298918
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0754485{col 33}{space 2} .0179062{col 44}{space 1}   -4.21{col 53}{space 3}0.000{col 61}{space 4} -.110544{col 74}{space 3}-.0403529
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0761008{col 33}{space 2} .0166608{col 44}{space 1}   -4.57{col 53}{space 3}0.000{col 61}{space 4}-.1087553{col 74}{space 3}-.0434463
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0656345{col 33}{space 2} .0340636{col 44}{space 1}    1.93{col 53}{space 3}0.054{col 61}{space 4} -.001129{col 74}{space 3} .1323979
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1007403{col 33}{space 2} .0245404{col 44}{space 1}   -4.11{col 53}{space 3}0.000{col 61}{space 4}-.1488386{col 74}{space 3} -.052642
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0912952{col 33}{space 2} .0185629{col 44}{space 1}   -4.92{col 53}{space 3}0.000{col 61}{space 4}-.1276779{col 74}{space 3}-.0549126
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2121624{col 33}{space 2} .0191216{col 44}{space 1}   11.10{col 53}{space 3}0.000{col 61}{space 4} .1746848{col 74}{space 3}   .24964
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}amount_clean        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0332859{col 33}{space 2} 1.243769{col 44}{space 1}    0.03{col 53}{space 3}0.979{col 61}{space 4}-2.404456{col 74}{space 3} 2.471028
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.509255{col 33}{space 2} 1.244079{col 44}{space 1}    1.21{col 53}{space 3}0.225{col 61}{space 4}-.9290954{col 74}{space 3} 3.947606
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2147641{col 33}{space 2}  1.24386{col 44}{space 1}   -0.17{col 53}{space 3}0.863{col 61}{space 4}-2.652685{col 74}{space 3} 2.223157
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.7360516{col 33}{space 2}  1.24989{col 44}{space 1}   -0.59{col 53}{space 3}0.556{col 61}{space 4}-3.185792{col 74}{space 3} 1.713689
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .0844376{col 33}{space 2} 1.271097{col 44}{space 1}    0.07{col 53}{space 3}0.947{col 61}{space 4}-2.406866{col 74}{space 3} 2.575741
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 3.037543{col 33}{space 2} 1.253245{col 44}{space 1}    2.42{col 53}{space 3}0.015{col 61}{space 4} .5812274{col 74}{space 3} 5.493859
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} 1.888039{col 33}{space 2} 8.506727{col 44}{space 1}    0.22{col 53}{space 3}0.824{col 61}{space 4}-14.78484{col 74}{space 3} 18.56092
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  6.08993{col 33}{space 2} 2.216557{col 44}{space 1}    2.75{col 53}{space 3}0.006{col 61}{space 4} 1.745557{col 74}{space 3}  10.4343
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-2.037649{col 33}{space 2} 2.060016{col 44}{space 1}   -0.99{col 53}{space 3}0.323{col 61}{space 4}-6.075206{col 74}{space 3} 1.999908
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-1.423606{col 33}{space 2} 4.223631{col 44}{space 1}   -0.34{col 53}{space 3}0.736{col 61}{space 4}-9.701771{col 74}{space 3}  6.85456
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-5.277701{col 33}{space 2} 2.982046{col 44}{space 1}   -1.77{col 53}{space 3}0.077{col 61}{space 4} -11.1224{col 74}{space 3} .5670023
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .9800394{col 33}{space 2} 2.287873{col 44}{space 1}    0.43{col 53}{space 3}0.668{col 61}{space 4}-3.504108{col 74}{space 3} 5.464187
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 8.919676{col 33}{space 2} 2.592292{col 44}{space 1}    3.44{col 53}{space 3}0.001{col 61}{space 4} 3.838878{col 74}{space 3} 14.00047
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2}-1.141489{col 33}{space 2} .0116263{col 44}{space 1}  -98.18{col 53}{space 3}0.000{col 61}{space 4}-1.164277{col 74}{space 3}-1.118702
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} 3.596476{col 33}{space 2} .0195989{col 44}{space 1}  183.50{col 53}{space 3}0.000{col 61}{space 4} 3.558063{col 74}{space 3} 3.634889
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2} .3044858{col 33}{space 2} .0595947{col 44}{space 1}    5.11{col 53}{space 3}0.000{col 61}{space 4} .1876823{col 74}{space 3} .4212893
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2}  .319343{col 33}{space 2} .0037128{col 61}{space 4} .3121484{col 74}{space 3} .3267035
{txt}              sig_2 {c |}{col 21}{res}{space 2} 36.46948{col 33}{space 2} .7147607{col 61}{space 4} 35.09514{col 74}{space 3} 37.89764
{txt}             rho_12 {c |}{col 21}{res}{space 2} .2954124{col 33}{space 2}  .054394{col 61}{space 4} .1855093{col 74}{space 3}  .398016
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country own_area project sector length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5017002 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4982998 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5009155 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4990845 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993461 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006539 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4930683 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5069317 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4985613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5014387 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5045776 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4954224 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1349725 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0073241 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2244311 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3484175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0292964 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0667015 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1888569 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1272721{col 33}{space 2}  .007343{col 44}{space 1}   17.33{col 53}{space 3}0.000{col 61}{space 4} .1128802{col 74}{space 3} .1416641
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1110649{col 33}{space 2} .0073599{col 44}{space 1}   15.09{col 53}{space 3}0.000{col 61}{space 4} .0966397{col 74}{space 3}   .12549
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  .133386{col 33}{space 2} .0073972{col 44}{space 1}   18.03{col 53}{space 3}0.000{col 61}{space 4} .1188878{col 74}{space 3} .1478843
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1053941{col 33}{space 2} .0073031{col 44}{space 1}   14.43{col 53}{space 3}0.000{col 61}{space 4} .0910803{col 74}{space 3}  .119708
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1172497{col 33}{space 2} .0073537{col 44}{space 1}   15.94{col 53}{space 3}0.000{col 61}{space 4} .1028367{col 74}{space 3} .1316627
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1211373{col 33}{space 2} .0073454{col 44}{space 1}   16.49{col 53}{space 3}0.000{col 61}{space 4} .1067406{col 74}{space 3} .1355341
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1203451{col 33}{space 2} .0073476{col 44}{space 1}   16.38{col 53}{space 3}0.000{col 61}{space 4} .1059441{col 74}{space 3}  .134746
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1180428{col 33}{space 2} .0073581{col 44}{space 1}   16.04{col 53}{space 3}0.000{col 61}{space 4} .1036211{col 74}{space 3} .1324645
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1401531{col 33}{space 2}   .00736{col 44}{space 1}   19.04{col 53}{space 3}0.000{col 61}{space 4} .1257278{col 74}{space 3} .1545785
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0983592{col 33}{space 2} .0073382{col 44}{space 1}   13.40{col 53}{space 3}0.000{col 61}{space 4} .0839766{col 74}{space 3} .1127418
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1057135{col 33}{space 2} .0073071{col 44}{space 1}   14.47{col 53}{space 3}0.000{col 61}{space 4} .0913919{col 74}{space 3} .1200351
{txt}Private foundation  {c |}{col 21}{res}{space 2} .1329277{col 33}{space 2}  .007392{col 44}{space 1}   17.98{col 53}{space 3}0.000{col 61}{space 4} .1184398{col 74}{space 3} .1474157
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .1832191{col 33}{space 2} .0141625{col 44}{space 1}   12.94{col 53}{space 3}0.000{col 61}{space 4} .1554611{col 74}{space 3} .2109772
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .3829931{col 33}{space 2} .0648613{col 44}{space 1}    5.90{col 53}{space 3}0.000{col 61}{space 4} .2558673{col 74}{space 3} .5101188
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1077707{col 33}{space 2} .0109528{col 44}{space 1}    9.84{col 53}{space 3}0.000{col 61}{space 4} .0863036{col 74}{space 3} .1292378
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1071183{col 33}{space 2} .0087751{col 44}{space 1}   12.21{col 53}{space 3}0.000{col 61}{space 4} .0899194{col 74}{space 3} .1243172
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2488536{col 33}{space 2} .0309754{col 44}{space 1}    8.03{col 53}{space 3}0.000{col 61}{space 4} .1881428{col 74}{space 3} .3095644
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0824788{col 33}{space 2} .0200474{col 44}{space 1}    4.11{col 53}{space 3}0.000{col 61}{space 4} .0431867{col 74}{space 3}  .121771
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0919239{col 33}{space 2}  .011995{col 44}{space 1}    7.66{col 53}{space 3}0.000{col 61}{space 4} .0684142{col 74}{space 3} .1154336
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount1
{txt}
{com}. 
. eststo m4: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( amount_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe) , indicators($cmp_probit $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-1369.3725}  
Iteration 1:{space 3}log likelihood = {res:-1326.6164}  
Iteration 2:{space 3}log likelihood = {res:-1326.2677}  
Iteration 3:{space 3}log likelihood = {res:-1326.2676}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     3,777
{txt}{col 49}LR chi2({res}12{txt}){col 67}= {res}     86.21
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1326.2676{txt}{col 49}Pseudo R2{col 67}= {res}    0.0315

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0781343{col 33}{space 2} .0541271{col 44}{space 1}   -1.44{col 53}{space 3}0.149{col 61}{space 4}-.1842215{col 74}{space 3} .0279529
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0099949{col 33}{space 2}   .05413{col 44}{space 1}   -0.18{col 53}{space 3}0.854{col 61}{space 4}-.1160878{col 74}{space 3}  .096098
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0236655{col 33}{space 2} .0540365{col 44}{space 1}    0.44{col 53}{space 3}0.661{col 61}{space 4}-.0822441{col 74}{space 3} .1295751
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1439533{col 33}{space 2} .0541703{col 44}{space 1}   -2.66{col 53}{space 3}0.008{col 61}{space 4}-.2501252{col 74}{space 3}-.0377815
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2144487{col 33}{space 2} .0543363{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.3209459{col 74}{space 3}-.1079516
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1358982{col 33}{space 2} .0541536{col 44}{space 1}    2.51{col 53}{space 3}0.012{col 61}{space 4}  .029759{col 74}{space 3} .2420373
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .6454714{col 33}{space 2} .2684865{col 44}{space 1}    2.40{col 53}{space 3}0.016{col 61}{space 4} .1192476{col 74}{space 3} 1.171695
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3435499{col 33}{space 2} .0869547{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.5139779{col 74}{space 3}-.1731219
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3433906{col 33}{space 2} .0799382{col 44}{space 1}   -4.30{col 53}{space 3}0.000{col 61}{space 4}-.5000667{col 74}{space 3}-.1867146
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2344987{col 33}{space 2} .1493771{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4}-.0582751{col 74}{space 3} .5272724
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4966062{col 33}{space 2} .1319624{col 44}{space 1}   -3.76{col 53}{space 3}0.000{col 61}{space 4}-.7552478{col 74}{space 3}-.2379645
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4520035{col 33}{space 2} .0935171{col 44}{space 1}   -4.83{col 53}{space 3}0.000{col 61}{space 4}-.6352937{col 74}{space 3}-.2687133
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7683601{col 33}{space 2} .0929148{col 44}{space 1}   -8.27{col 53}{space 3}0.000{col 61}{space 4}-.9504698{col 74}{space 3}-.5862505
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,421
{txt}{hline 13}{c +}{hline 34}   F(12, 3408)     = {res}     3.83
{txt}       Model {c |} {res} 56796.0747        12  4733.00622   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4211001.19     3,408  1235.62242   {txt}R-squared       ={res}    0.0133
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0098
{txt}       Total {c |} {res} 4267797.27     3,420  1247.89394   {txt}Root MSE        =   {res} 35.151

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .2076079{col 33}{space 2} 1.203928{col 44}{space 1}    0.17{col 53}{space 3}0.863{col 61}{space 4}-2.152886{col 74}{space 3} 2.568102
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.623056{col 33}{space 2} 1.204481{col 44}{space 1}    1.35{col 53}{space 3}0.178{col 61}{space 4}-.7385227{col 74}{space 3} 3.984635
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1958866{col 33}{space 2} 1.204539{col 44}{space 1}   -0.16{col 53}{space 3}0.871{col 61}{space 4}-2.557578{col 74}{space 3} 2.165805
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0614894{col 33}{space 2}  1.20346{col 44}{space 1}   -0.05{col 53}{space 3}0.959{col 61}{space 4}-2.421066{col 74}{space 3} 2.298087
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.412889{col 33}{space 2}  1.20422{col 44}{space 1}    1.17{col 53}{space 3}0.241{col 61}{space 4}-.9481774{col 74}{space 3} 3.773955
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  2.21592{col 33}{space 2} 1.203244{col 44}{space 1}    1.84{col 53}{space 3}0.066{col 61}{space 4}-.1432329{col 74}{space 3} 4.575073
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-3.162305{col 33}{space 2} 8.245734{col 44}{space 1}   -0.38{col 53}{space 3}0.701{col 61}{space 4}-19.32939{col 74}{space 3} 13.00478
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 8.349002{col 33}{space 2} 2.104311{col 44}{space 1}    3.97{col 53}{space 3}0.000{col 61}{space 4} 4.223163{col 74}{space 3} 12.47484
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.2452949{col 33}{space 2} 1.967889{col 44}{space 1}   -0.12{col 53}{space 3}0.901{col 61}{space 4}-4.103657{col 74}{space 3} 3.613067
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-3.015254{col 33}{space 2} 4.094407{col 44}{space 1}   -0.74{col 53}{space 3}0.462{col 61}{space 4}-11.04299{col 74}{space 3} 5.012487
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.899735{col 33}{space 2} 2.851593{col 44}{space 1}   -1.02{col 53}{space 3}0.309{col 61}{space 4} -8.49074{col 74}{space 3}  2.69127
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.350985{col 33}{space 2} 2.169712{col 44}{space 1}    1.54{col 53}{space 3}0.123{col 61}{space 4}-.9030837{col 74}{space 3} 7.605053
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  3.03621{col 33}{space 2} 2.244401{col 44}{space 1}    1.35{col 53}{space 3}0.176{col 61}{space 4}-1.364297{col 74}{space 3} 7.436717
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}amount_clean{res} equation appears ill-conditioned. (Condition number = 20.774531.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res:-18350.751}  
Iteration 1:{space 3}log likelihood = {res:-18350.401}  
Iteration 2:{space 3}log likelihood = {res:-18350.134}  
Iteration 3:{space 3}log likelihood = {res:-18350.133}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    132.17
{txt}Log likelihood = {res}-18350.133{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0799051{col 33}{space 2} .0541602{col 44}{space 1}   -1.48{col 53}{space 3}0.140{col 61}{space 4}-.1860571{col 74}{space 3}  .026247
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0108644{col 33}{space 2} .0541553{col 44}{space 1}   -0.20{col 53}{space 3}0.841{col 61}{space 4}-.1170068{col 74}{space 3} .0952781
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0223294{col 33}{space 2}   .05406{col 44}{space 1}    0.41{col 53}{space 3}0.680{col 61}{space 4}-.0836263{col 74}{space 3} .1282852
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.145388{col 33}{space 2} .0542027{col 44}{space 1}   -2.68{col 53}{space 3}0.007{col 61}{space 4}-.2516234{col 74}{space 3}-.0391525
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2146352{col 33}{space 2} .0543522{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.3211636{col 74}{space 3}-.1081068
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1347305{col 33}{space 2}  .054184{col 44}{space 1}    2.49{col 53}{space 3}0.013{col 61}{space 4} .0285317{col 74}{space 3} .2409293
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}  .646325{col 33}{space 2} .2684387{col 44}{space 1}    2.41{col 53}{space 3}0.016{col 61}{space 4} .1201948{col 74}{space 3} 1.172455
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3467285{col 33}{space 2} .0870252{col 44}{space 1}   -3.98{col 53}{space 3}0.000{col 61}{space 4}-.5172948{col 74}{space 3}-.1761621
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3433784{col 33}{space 2} .0798956{col 44}{space 1}   -4.30{col 53}{space 3}0.000{col 61}{space 4} -.499971{col 74}{space 3}-.1867858
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2334446{col 33}{space 2} .1493128{col 44}{space 1}    1.56{col 53}{space 3}0.118{col 61}{space 4}-.0592031{col 74}{space 3} .5260924
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4963435{col 33}{space 2} .1319012{col 44}{space 1}   -3.76{col 53}{space 3}0.000{col 61}{space 4} -.754865{col 74}{space 3} -.237822
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4538602{col 33}{space 2} .0936065{col 44}{space 1}   -4.85{col 53}{space 3}0.000{col 61}{space 4}-.6373256{col 74}{space 3}-.2703949
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7633464{col 33}{space 2} .0929118{col 44}{space 1}   -8.22{col 53}{space 3}0.000{col 61}{space 4}-.9454502{col 74}{space 3}-.5812426
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}amount_clean        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .1929345{col 33}{space 2} 1.202201{col 44}{space 1}    0.16{col 53}{space 3}0.872{col 61}{space 4}-2.163336{col 74}{space 3} 2.549205
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.610053{col 33}{space 2}  1.20275{col 44}{space 1}    1.34{col 53}{space 3}0.181{col 61}{space 4}-.7472933{col 74}{space 3} 3.967399
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2034383{col 33}{space 2} 1.202794{col 44}{space 1}   -0.17{col 53}{space 3}0.866{col 61}{space 4}-2.560871{col 74}{space 3} 2.153995
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1376492{col 33}{space 2} 1.202293{col 44}{space 1}   -0.11{col 53}{space 3}0.909{col 61}{space 4}-2.494099{col 74}{space 3} 2.218801
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.257161{col 33}{space 2} 1.204919{col 44}{space 1}    1.04{col 53}{space 3}0.297{col 61}{space 4}-1.104437{col 74}{space 3} 3.618758
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  2.30611{col 33}{space 2} 1.202329{col 44}{space 1}    1.92{col 53}{space 3}0.055{col 61}{space 4} -.050412{col 74}{space 3} 4.662631
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.623264{col 33}{space 2} 8.235824{col 44}{space 1}   -0.32{col 53}{space 3}0.750{col 61}{space 4}-18.76518{col 74}{space 3} 13.51866
{txt}{space 17}3  {c |}{col 21}{res}{space 2}   8.0986{col 33}{space 2} 2.104754{col 44}{space 1}    3.85{col 53}{space 3}0.000{col 61}{space 4} 3.973359{col 74}{space 3} 12.22384
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.4350933{col 33}{space 2} 1.967142{col 44}{space 1}   -0.22{col 53}{space 3}0.825{col 61}{space 4} -4.29062{col 74}{space 3} 3.420434
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.861731{col 33}{space 2} 4.088618{col 44}{space 1}   -0.70{col 53}{space 3}0.484{col 61}{space 4}-10.87527{col 74}{space 3} 5.151813
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.158307{col 33}{space 2}  2.85029{col 44}{space 1}   -1.11{col 53}{space 3}0.268{col 61}{space 4}-8.744773{col 74}{space 3} 2.428158
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.094751{col 33}{space 2} 2.170132{col 44}{space 1}    1.43{col 53}{space 3}0.154{col 61}{space 4}-1.158629{col 74}{space 3}  7.34813
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.776908{col 33}{space 2}  2.27046{col 44}{space 1}    1.66{col 53}{space 3}0.096{col 61}{space 4}-.6731119{col 74}{space 3} 8.226928
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2} 3.558387{col 33}{space 2} .0121203{col 44}{space 1}  293.59{col 53}{space 3}0.000{col 61}{space 4} 3.534632{col 74}{space 3} 3.582142
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2} .0693077{col 33}{space 2} .0342312{col 44}{space 1}    2.02{col 53}{space 3}0.043{col 61}{space 4} .0022158{col 74}{space 3} .1363996
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 35.10653{col 33}{space 2} .4255005{col 61}{space 4} 34.28239{col 74}{space 3} 35.95048
{txt}             rho_12 {c |}{col 21}{res}{space 2} .0691969{col 33}{space 2} .0340673{col 61}{space 4} .0022158{col 74}{space 3} .1355599
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country own_area project sector length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5017002 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4982998 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5009155 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4990845 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993461 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006539 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4930683 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5069317 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4985613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5014387 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5045776 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4954224 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1349725 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0073241 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2244311 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3484175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0292964 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0667015 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1888569 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  8.11845{col 33}{space 2}  .882279{col 44}{space 1}    9.20{col 53}{space 3}0.000{col 61}{space 4} 6.389215{col 74}{space 3} 9.847685
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 8.311384{col 33}{space 2} .8800569{col 44}{space 1}    9.44{col 53}{space 3}0.000{col 61}{space 4} 6.586505{col 74}{space 3} 10.03626
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.284368{col 33}{space 2} .8965259{col 44}{space 1}    9.24{col 53}{space 3}0.000{col 61}{space 4} 6.527209{col 74}{space 3} 10.04153
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 8.146719{col 33}{space 2} .8659661{col 44}{space 1}    9.41{col 53}{space 3}0.000{col 61}{space 4} 6.449456{col 74}{space 3} 9.843981
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.316441{col 33}{space 2}  .882086{col 44}{space 1}    9.43{col 53}{space 3}0.000{col 61}{space 4} 6.587585{col 74}{space 3}  10.0453
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 8.113003{col 33}{space 2} .8806688{col 44}{space 1}    9.21{col 53}{space 3}0.000{col 61}{space 4} 6.386924{col 74}{space 3} 9.839082
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 7.411037{col 33}{space 2} .8822833{col 44}{space 1}    8.40{col 53}{space 3}0.000{col 61}{space 4} 5.681793{col 74}{space 3}  9.14028
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 9.021089{col 33}{space 2} .8804349{col 44}{space 1}   10.25{col 53}{space 3}0.000{col 61}{space 4} 7.295469{col 74}{space 3} 10.74671
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2}   7.5842{col 33}{space 2} .9025212{col 44}{space 1}    8.40{col 53}{space 3}0.000{col 61}{space 4} 5.815291{col 74}{space 3} 9.353109
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 8.841361{col 33}{space 2} .8613175{col 44}{space 1}   10.26{col 53}{space 3}0.000{col 61}{space 4}  7.15321{col 74}{space 3} 10.52951
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 7.072091{col 33}{space 2}  .865498{col 44}{space 1}    8.17{col 53}{space 3}0.000{col 61}{space 4} 5.375746{col 74}{space 3} 8.768435
{txt}Private foundation  {c |}{col 21}{res}{space 2}   9.3782{col 33}{space 2} .8969123{col 44}{space 1}   10.46{col 53}{space 3}0.000{col 61}{space 4} 7.620285{col 74}{space 3} 11.13612
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 6.277856{col 33}{space 2} 1.713617{col 44}{space 1}    3.66{col 53}{space 3}0.000{col 61}{space 4} 2.919228{col 74}{space 3} 9.636484
{txt}{space 17}2  {c |}{col 21}{res}{space 2} 3.654592{col 33}{space 2} 8.079819{col 44}{space 1}    0.45{col 53}{space 3}0.651{col 61}{space 4}-12.18156{col 74}{space 3} 19.49075
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 14.37646{col 33}{space 2} 1.271564{col 44}{space 1}   11.31{col 53}{space 3}0.000{col 61}{space 4} 11.88424{col 74}{space 3} 16.86867
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 5.842763{col 33}{space 2} 1.039185{col 44}{space 1}    5.62{col 53}{space 3}0.000{col 61}{space 4} 3.805998{col 74}{space 3} 7.879528
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 3.416125{col 33}{space 2} 3.747908{col 44}{space 1}    0.91{col 53}{space 3}0.362{col 61}{space 4} -3.92964{col 74}{space 3} 10.76189
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 3.119549{col 33}{space 2} 2.305779{col 44}{space 1}    1.35{col 53}{space 3}0.176{col 61}{space 4}-1.399696{col 74}{space 3} 7.638793
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 9.372607{col 33}{space 2} 1.378218{col 44}{space 1}    6.80{col 53}{space 3}0.000{col 61}{space 4} 6.671348{col 74}{space 3} 12.07387
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount2
{txt}
{com}. 
. *Coefficient plot
. 
. *overhead
. coefplot overhead1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot overhead2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. *amount
. coefplot amount1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot amount2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. graph combine amount2 overhead2, scheme(plotplainblind) 
{res}{txt}
{com}. 
. 
. ******************************
. *Figure 3: Rejection of funds*
. ******************************
. 
. 
. eststo m1: cmp (refuse = i.country i.length i.own_area i.project i.sector i.source i.io_fe) ( overhead_clean = i.country i.length i.own_area i.project i.sector i.source i.io_fe)  , indicators($cmp_cont $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,777
{txt}{hline 13}{c +}{hline 34}   F(12, 3764)     = {res}     8.14
{txt}       Model {c |} {res} 9.93239103        12  .827699252   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 382.638432     3,764  .101657394   {txt}R-squared       ={res}    0.0253
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0222
{txt}       Total {c |} {res} 392.570823     3,776  .103964731   {txt}Root MSE        =   {res} .31884

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0151412{col 33}{space 2} .0103895{col 44}{space 1}   -1.46{col 53}{space 3}0.145{col 61}{space 4}-.0355108{col 74}{space 3} .0052284
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0411227{col 33}{space 2} .0103837{col 44}{space 1}   -3.96{col 53}{space 3}0.000{col 61}{space 4}-.0614809{col 74}{space 3}-.0207644
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0267607{col 33}{space 2} .0103846{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0471207{col 74}{space 3}-.0064008
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0047392{col 33}{space 2} .0103844{col 44}{space 1}    0.46{col 53}{space 3}0.648{col 61}{space 4}-.0156204{col 74}{space 3} .0250989
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0021123{col 33}{space 2} .0103948{col 44}{space 1}   -0.20{col 53}{space 3}0.839{col 61}{space 4}-.0224923{col 74}{space 3} .0182677
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0271724{col 33}{space 2} .0103853{col 44}{space 1}    2.62{col 53}{space 3}0.009{col 61}{space 4}  .006811{col 74}{space 3} .0475338
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2012098{col 33}{space 2} .0666451{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4} .0705458{col 74}{space 3} .3318738
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0767903{col 33}{space 2} .0178859{col 44}{space 1}   -4.29{col 53}{space 3}0.000{col 61}{space 4}-.1118573{col 74}{space 3}-.0417232
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0759744{col 33}{space 2} .0166437{col 44}{space 1}   -4.56{col 53}{space 3}0.000{col 61}{space 4} -.108606{col 74}{space 3}-.0433427
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0670914{col 33}{space 2} .0340767{col 44}{space 1}    1.97{col 53}{space 3}0.049{col 61}{space 4} .0002807{col 74}{space 3}  .133902
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1005365{col 33}{space 2} .0245098{col 44}{space 1}   -4.10{col 53}{space 3}0.000{col 61}{space 4}-.1485903{col 74}{space 3}-.0524826
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0945746{col 33}{space 2} .0185378{col 44}{space 1}   -5.10{col 53}{space 3}0.000{col 61}{space 4}-.1309197{col 74}{space 3}-.0582296
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2100799{col 33}{space 2} .0191019{col 44}{space 1}   11.00{col 53}{space 3}0.000{col 61}{space 4} .1726288{col 74}{space 3} .2475309
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,517
{txt}{hline 13}{c +}{hline 34}   F(12, 3504)     = {res}    18.45
{txt}       Model {c |} {res} 66577.6973        12  5548.14144   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1053894.46     3,504  300.768966   {txt}R-squared       ={res}    0.0594
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0562
{txt}       Total {c |} {res} 1120472.15     3,516  318.678087   {txt}Root MSE        =   {res} 17.343

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1891472{col 33}{space 2}   .58628{col 44}{space 1}   -0.32{col 53}{space 3}0.747{col 61}{space 4}-1.338632{col 74}{space 3} .9603376
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .3977909{col 33}{space 2} .5858588{col 44}{space 1}    0.68{col 53}{space 3}0.497{col 61}{space 4} -.750868{col 74}{space 3}  1.54645
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  -.00318{col 33}{space 2} .5855543{col 44}{space 1}   -0.01{col 53}{space 3}0.996{col 61}{space 4}-1.151242{col 74}{space 3} 1.144882
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2618454{col 33}{space 2} .5861812{col 44}{space 1}   -0.45{col 53}{space 3}0.655{col 61}{space 4}-1.411136{col 74}{space 3} .8874457
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7697317{col 33}{space 2} .5861338{col 44}{space 1}    1.31{col 53}{space 3}0.189{col 61}{space 4}-.3794665{col 74}{space 3}  1.91893
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.8551153{col 33}{space 2} .5856312{col 44}{space 1}   -1.46{col 53}{space 3}0.144{col 61}{space 4}-2.003328{col 74}{space 3} .2930974
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-5.817598{col 33}{space 2} 4.558818{col 44}{space 1}   -1.28{col 53}{space 3}0.202{col 61}{space 4}-14.75581{col 74}{space 3} 3.120609
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 7.755069{col 33}{space 2} 1.030774{col 44}{space 1}    7.52{col 53}{space 3}0.000{col 61}{space 4} 5.734092{col 74}{space 3} 9.776046
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-2.724163{col 33}{space 2} .9599084{col 44}{space 1}   -2.84{col 53}{space 3}0.005{col 61}{space 4}-4.606199{col 74}{space 3}-.8421268
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.931397{col 33}{space 2} 2.067297{col 44}{space 1}   -1.42{col 53}{space 3}0.156{col 61}{space 4}-6.984625{col 74}{space 3} 1.121831
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-4.728951{col 33}{space 2} 1.378856{col 44}{space 1}   -3.43{col 53}{space 3}0.001{col 61}{space 4}-7.432392{col 74}{space 3}-2.025509
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.560462{col 33}{space 2} 1.063398{col 44}{space 1}   -1.47{col 53}{space 3}0.142{col 61}{space 4}-3.645404{col 74}{space 3}   .52448
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 15.70494{col 33}{space 2} 1.100385{col 44}{space 1}   14.27{col 53}{space 3}0.000{col 61}{space 4} 13.54748{col 74}{space 3}  17.8624
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res: -16050.85}  
Iteration 1:{space 3}log likelihood = {res:-16049.776}  
Iteration 2:{space 3}log likelihood = {res:-16049.774}  
Iteration 3:{space 3}log likelihood = {res:-16049.774}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    314.42
{txt}Log likelihood = {res}-16049.774{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0151954{col 33}{space 2} .0103709{col 44}{space 1}   -1.47{col 53}{space 3}0.143{col 61}{space 4}-.0355219{col 74}{space 3} .0051311
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0412616{col 33}{space 2} .0103652{col 44}{space 1}   -3.98{col 53}{space 3}0.000{col 61}{space 4} -.061577{col 74}{space 3}-.0209463
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0267753{col 33}{space 2} .0103659{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0470921{col 74}{space 3}-.0064584
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0046282{col 33}{space 2} .0103659{col 44}{space 1}    0.45{col 53}{space 3}0.655{col 61}{space 4}-.0156885{col 74}{space 3} .0249449
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0022478{col 33}{space 2} .0103762{col 44}{space 1}   -0.22{col 53}{space 3}0.828{col 61}{space 4}-.0225849{col 74}{space 3} .0180892
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0272457{col 33}{space 2} .0103667{col 44}{space 1}    2.63{col 53}{space 3}0.009{col 61}{space 4} .0069274{col 74}{space 3} .0475641
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2012701{col 33}{space 2}  .066529{col 44}{space 1}    3.03{col 53}{space 3}0.002{col 61}{space 4} .0708758{col 74}{space 3} .3316645
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0766507{col 33}{space 2} .0178546{col 44}{space 1}   -4.29{col 53}{space 3}0.000{col 61}{space 4} -.111645{col 74}{space 3}-.0416563
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0759023{col 33}{space 2} .0166141{col 44}{space 1}   -4.57{col 53}{space 3}0.000{col 61}{space 4}-.1084654{col 74}{space 3}-.0433392
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0671429{col 33}{space 2} .0340173{col 44}{space 1}    1.97{col 53}{space 3}0.048{col 61}{space 4} .0004703{col 74}{space 3} .1338156
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1008402{col 33}{space 2}  .024465{col 44}{space 1}   -4.12{col 53}{space 3}0.000{col 61}{space 4}-.1487906{col 74}{space 3}-.0528897
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0945671{col 33}{space 2} .0185052{col 44}{space 1}   -5.11{col 53}{space 3}0.000{col 61}{space 4}-.1308367{col 74}{space 3}-.0582975
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2102428{col 33}{space 2} .0190682{col 44}{space 1}   11.03{col 53}{space 3}0.000{col 61}{space 4} .1728699{col 74}{space 3} .2476157
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1391453{col 33}{space 2} .5865766{col 44}{space 1}   -0.24{col 53}{space 3}0.812{col 61}{space 4}-1.288814{col 74}{space 3} 1.010524
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}   .52139{col 33}{space 2} .5874627{col 44}{space 1}    0.89{col 53}{space 3}0.375{col 61}{space 4}-.6300157{col 74}{space 3} 1.672796
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .1381246{col 33}{space 2} .5876409{col 44}{space 1}    0.24{col 53}{space 3}0.814{col 61}{space 4} -1.01363{col 74}{space 3}  1.28988
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.269601{col 33}{space 2} .5862263{col 44}{space 1}   -0.46{col 53}{space 3}0.646{col 61}{space 4}-1.418583{col 74}{space 3} .8793814
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .810926{col 33}{space 2} .5863501{col 44}{space 1}    1.38{col 53}{space 3}0.167{col 61}{space 4}-.3382991{col 74}{space 3} 1.960151
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} -.954491{col 33}{space 2}  .586685{col 44}{space 1}   -1.63{col 53}{space 3}0.104{col 61}{space 4}-2.104372{col 74}{space 3} .1953905
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} -6.97021{col 33}{space 2} 4.572215{col 44}{space 1}   -1.52{col 53}{space 3}0.127{col 61}{space 4}-15.93159{col 74}{space 3} 1.991167
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 8.034242{col 33}{space 2}  1.03528{col 44}{space 1}    7.76{col 53}{space 3}0.000{col 61}{space 4} 6.005132{col 74}{space 3} 10.06335
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-2.477549{col 33}{space 2} .9636587{col 44}{space 1}   -2.57{col 53}{space 3}0.010{col 61}{space 4}-4.366285{col 74}{space 3}-.5888123
{txt}{space 17}5  {c |}{col 21}{res}{space 2} -3.25937{col 33}{space 2} 2.069774{col 44}{space 1}   -1.57{col 53}{space 3}0.115{col 61}{space 4}-7.316052{col 74}{space 3} .7973125
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-4.449261{col 33}{space 2} 1.382319{col 44}{space 1}   -3.22{col 53}{space 3}0.001{col 61}{space 4}-7.158555{col 74}{space 3}-1.739966
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.228941{col 33}{space 2} 1.069593{col 44}{space 1}   -1.15{col 53}{space 3}0.251{col 61}{space 4}-3.325306{col 74}{space 3} .8674235
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 15.00377{col 33}{space 2} 1.126863{col 44}{space 1}   13.31{col 53}{space 3}0.000{col 61}{space 4} 12.79516{col 74}{space 3} 17.21238
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2}-1.144817{col 33}{space 2} .0115052{col 44}{space 1}  -99.50{col 53}{space 3}0.000{col 61}{space 4}-1.167367{col 74}{space 3}-1.122267
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} 2.853531{col 33}{space 2} .0120728{col 44}{space 1}  236.36{col 53}{space 3}0.000{col 61}{space 4} 2.829869{col 74}{space 3} 2.877194
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.0828804{col 33}{space 2} .0286957{col 44}{space 1}   -2.89{col 53}{space 3}0.004{col 61}{space 4}-.1391229{col 74}{space 3}-.0266379
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .3182821{col 33}{space 2} .0036619{col 61}{space 4} .3111852{col 74}{space 3} .3255409
{txt}              sig_2 {c |}{col 21}{res}{space 2} 17.34894{col 33}{space 2} .2094505{col 61}{space 4} 16.94324{col 74}{space 3} 17.76435
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.0826912{col 33}{space 2} .0284995{col 61}{space 4}-.1382323{col 74}{space 3}-.0266316
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country length own_area project sector source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5003909 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4996091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4980453 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5019547 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4949179 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5050821 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993484 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006516 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5011728 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4988272 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5053427 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4946573 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1329163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0062549 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 4}.223091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3554861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0276257 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0690644 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1855616 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1251998{col 33}{space 2} .0073189{col 44}{space 1}   17.11{col 53}{space 3}0.000{col 61}{space 4}  .110855{col 74}{space 3} .1395446
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1100044{col 33}{space 2} .0073389{col 44}{space 1}   14.99{col 53}{space 3}0.000{col 61}{space 4} .0956205{col 74}{space 3} .1243883
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1383195{col 33}{space 2} .0073354{col 44}{space 1}   18.86{col 53}{space 3}0.000{col 61}{space 4} .1239424{col 74}{space 3} .1526966
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0970579{col 33}{space 2} .0073184{col 44}{space 1}   13.26{col 53}{space 3}0.000{col 61}{space 4} .0827142{col 74}{space 3} .1114016
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1311317{col 33}{space 2} .0073704{col 44}{space 1}   17.79{col 53}{space 3}0.000{col 61}{space 4}  .116686{col 74}{space 3} .1455775
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1043565{col 33}{space 2} .0072841{col 44}{space 1}   14.33{col 53}{space 3}0.000{col 61}{space 4} .0900799{col 74}{space 3}  .118633
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1152909{col 33}{space 2} .0073304{col 44}{space 1}   15.73{col 53}{space 3}0.000{col 61}{space 4} .1009235{col 74}{space 3} .1296583
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1199191{col 33}{space 2} .0073238{col 44}{space 1}   16.37{col 53}{space 3}0.000{col 61}{space 4} .1055647{col 74}{space 3} .1342735
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1187293{col 33}{space 2} .0073231{col 44}{space 1}   16.21{col 53}{space 3}0.000{col 61}{space 4} .1043762{col 74}{space 3} .1330824
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1164815{col 33}{space 2} .0073384{col 44}{space 1}   15.87{col 53}{space 3}0.000{col 61}{space 4} .1020984{col 74}{space 3} .1308646
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1041307{col 33}{space 2}  .007286{col 44}{space 1}   14.29{col 53}{space 3}0.000{col 61}{space 4} .0898505{col 74}{space 3}  .118411
{txt}Private foundation  {c |}{col 21}{res}{space 2} .1313765{col 33}{space 2} .0073691{col 44}{space 1}   17.83{col 53}{space 3}0.000{col 61}{space 4} .1169333{col 74}{space 3} .1458196
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2}  .183089{col 33}{space 2} .0141247{col 44}{space 1}   12.96{col 53}{space 3}0.000{col 61}{space 4} .1554052{col 74}{space 3} .2107729
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .3843592{col 33}{space 2} .0650134{col 44}{space 1}    5.91{col 53}{space 3}0.000{col 61}{space 4} .2569352{col 74}{space 3} .5117831
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1064384{col 33}{space 2} .0109181{col 44}{space 1}    9.75{col 53}{space 3}0.000{col 61}{space 4} .0850393{col 74}{space 3} .1278374
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1071867{col 33}{space 2} .0087475{col 44}{space 1}   12.25{col 53}{space 3}0.000{col 61}{space 4}  .090042{col 74}{space 3} .1243314
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2502319{col 33}{space 2} .0309409{col 44}{space 1}    8.09{col 53}{space 3}0.000{col 61}{space 4} .1895889{col 74}{space 3} .3108749
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0822489{col 33}{space 2} .0199809{col 44}{space 1}    4.12{col 53}{space 3}0.000{col 61}{space 4} .0430869{col 74}{space 3} .1214108
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0885219{col 33}{space 2} .0119513{col 44}{space 1}    7.41{col 53}{space 3}0.000{col 61}{space 4} .0650979{col 74}{space 3}  .111946
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo rejection1
{txt}
{com}. 
. coefplot rejection1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. 
. *************************
. *Figure 4: Forced choice*
. *************************
. 
. reg choicevar_clean  i.country i.sector i.project i.own_area i.length i.source i.io_fe

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,920
{txt}{hline 13}{c +}{hline 34}   F(12, 3907)     = {res}    14.57
{txt}       Model {c |} {res} 41.9855185        12  3.49879321   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 938.014481     3,907  .240085611   {txt}R-squared       ={res}    0.0428
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0399
{txt}       Total {c |} {res}        980     3,919  .250063792   {txt}Root MSE        =   {res} .48999

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    choicevar_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0058917{col 33}{space 2} .0156689{col 44}{space 1}    0.38{col 53}{space 3}0.707{col 61}{space 4}-.0248284{col 74}{space 3} .0366118
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0454119{col 33}{space 2} .0156776{col 44}{space 1}    2.90{col 53}{space 3}0.004{col 61}{space 4} .0146747{col 74}{space 3}  .076149
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0102345{col 33}{space 2} .0156637{col 44}{space 1}    0.65{col 53}{space 3}0.514{col 61}{space 4}-.0204753{col 74}{space 3} .0409442
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0803311{col 33}{space 2} .0156642{col 44}{space 1}    5.13{col 53}{space 3}0.000{col 61}{space 4} .0496203{col 74}{space 3} .1110419
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .1811308{col 33}{space 2} .0156639{col 44}{space 1}   11.56{col 53}{space 3}0.000{col 61}{space 4} .1504207{col 74}{space 3} .2118409
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.0329957{col 33}{space 2} .0156621{col 44}{space 1}   -2.11{col 53}{space 3}0.035{col 61}{space 4}-.0637024{col 74}{space 3} -.002289
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.0276327{col 33}{space 2} .0951205{col 44}{space 1}   -0.29{col 53}{space 3}0.771{col 61}{space 4}-.2141232{col 74}{space 3} .1588577
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .0067489{col 33}{space 2} .0271411{col 44}{space 1}    0.25{col 53}{space 3}0.804{col 61}{space 4}-.0464631{col 74}{space 3} .0599609
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .0009713{col 33}{space 2} .0252729{col 44}{space 1}    0.04{col 53}{space 3}0.969{col 61}{space 4}-.0485781{col 74}{space 3} .0505206
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.0147294{col 33}{space 2}  .051096{col 44}{space 1}   -0.29{col 53}{space 3}0.773{col 61}{space 4}-.1149068{col 74}{space 3}  .085448
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0039905{col 33}{space 2} .0369706{col 44}{space 1}    0.11{col 53}{space 3}0.914{col 61}{space 4}-.0684931{col 74}{space 3}  .076474
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0031759{col 33}{space 2} .0280655{col 44}{space 1}   -0.11{col 53}{space 3}0.910{col 61}{space 4}-.0582004{col 74}{space 3} .0518485
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .3533646{col 33}{space 2} .0289606{col 44}{space 1}   12.20{col 53}{space 3}0.000{col 61}{space 4} .2965853{col 74}{space 3}  .410144
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source i.io_fe, atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,920
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 9}.5 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 9}.5 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5012755 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4987245 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4989796 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5010204 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 4}.492602 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 4}.507398 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4994898 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5005102 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 4}.502551 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 4}.497449 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1321429 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0071429 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 7}.225 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 8}.35 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0285714 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0678571 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1892857 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .4970542{col 33}{space 2} .0110736{col 44}{space 1}   44.89{col 53}{space 3}0.000{col 61}{space 4} .4753435{col 74}{space 3} .5187648
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .5029458{col 33}{space 2} .0110736{col 44}{space 1}   45.42{col 53}{space 3}0.000{col 61}{space 4} .4812352{col 74}{space 3} .5246565
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  .477352{col 33}{space 2} .0110626{col 44}{space 1}   43.15{col 53}{space 3}0.000{col 61}{space 4}  .455663{col 74}{space 3} .4990409
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .5227639{col 33}{space 2} .0110909{col 44}{space 1}   47.13{col 53}{space 3}0.000{col 61}{space 4} .5010194{col 74}{space 3} .5445083
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .4948723{col 33}{space 2} .0110831{col 44}{space 1}   44.65{col 53}{space 3}0.000{col 61}{space 4} .4731432{col 74}{space 3} .5166015
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .5051068{col 33}{space 2} .0110605{col 44}{space 1}   45.67{col 53}{space 3}0.000{col 61}{space 4}  .483422{col 74}{space 3} .5267916
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .4592402{col 33}{space 2} .0111542{col 44}{space 1}   41.17{col 53}{space 3}0.000{col 61}{space 4} .4373715{col 74}{space 3} .4811088
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .5395713{col 33}{space 2} .0109903{col 44}{space 1}   49.10{col 53}{space 3}0.000{col 61}{space 4}  .518024{col 74}{space 3} .5611185
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .4093422{col 33}{space 2} .0110775{col 44}{space 1}   36.95{col 53}{space 3}0.000{col 61}{space 4}  .387624{col 74}{space 3} .4310604
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2}  .590473{col 33}{space 2} .0110662{col 44}{space 1}   53.36{col 53}{space 3}0.000{col 61}{space 4} .5687769{col 74}{space 3}  .612169
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .5164137{col 33}{space 2}  .011043{col 44}{space 1}   46.76{col 53}{space 3}0.000{col 61}{space 4} .4947631{col 74}{space 3} .5380643
{txt}Private foundation  {c |}{col 21}{res}{space 2}  .483418{col 33}{space 2} .0110995{col 44}{space 1}   43.55{col 53}{space 3}0.000{col 61}{space 4} .4616566{col 74}{space 3} .5051794
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .4990901{col 33}{space 2} .0215338{col 44}{space 1}   23.18{col 53}{space 3}0.000{col 61}{space 4} .4568717{col 74}{space 3} .5413086
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .4714574{col 33}{space 2} .0926541{col 44}{space 1}    5.09{col 53}{space 3}0.000{col 61}{space 4} .2898024{col 74}{space 3} .6531124
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  .505839{col 33}{space 2} .0165122{col 44}{space 1}   30.63{col 53}{space 3}0.000{col 61}{space 4} .4734657{col 74}{space 3} .5382123
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .5000614{col 33}{space 2} .0132296{col 44}{space 1}   37.80{col 53}{space 3}0.000{col 61}{space 4} .4741238{col 74}{space 3} .5259991
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .4843608{col 33}{space 2} .0463326{col 44}{space 1}   10.45{col 53}{space 3}0.000{col 61}{space 4} .3935223{col 74}{space 3} .5751992
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .5030806{col 33}{space 2} .0300609{col 44}{space 1}   16.74{col 53}{space 3}0.000{col 61}{space 4} .4441441{col 74}{space 3} .5620172
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .4959142{col 33}{space 2} .0179956{col 44}{space 1}   27.56{col 53}{space 3}0.000{col 61}{space 4} .4606326{col 74}{space 3} .5311958
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo choice1
{txt}
{com}. 
. coefplot choice1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0.2(0.1)0.8)
{res}{txt}
{com}. 
. 
. *****************************
. *******Appendix************
. *****************************
. 
. 
. ******************************
. *Figure A1: Statistical power*
. ******************************
. 
. *create "power_combined.dta" file using "Power_calculations.R" file
. use "power_combined.dta", clear
{txt}(Written by R.              )

{com}. keep n power estimate
{txt}
{com}. tostring power, replace
{txt}power was {res:double} now {res:str2}

{com}. replace power = subinstr(power, ".", "_",.)
{txt}(27 real changes made)

{com}. reshape wide n , i(estimate) j(power, string)
{txt}(note: j = _7 _8 _9)

Data{col 36}long{col 43}->{col 48}wide
{hline 77}
Number of obs.                 {res}      27   {txt}->{res}       9
{txt}Number of variables            {res}       3   {txt}->{res}       4
{txt}j variable (3 values)             {res}power   {txt}->   (dropped)
xij variables:
                                      {res}n   {txt}->   {res}n_7 n_8 n_9
{txt}{hline 77}

{com}. 
. label var n_7 "Power = 0.7"
{txt}
{com}. label var n_8 "Power = 0.8"
{txt}
{com}. label var n_9 "Power = 0.9"
{txt}
{com}. 
. graph twoway  (line n_7 estimate) (line n_8 estimate) (line n_9 estimate, lcolor(gs12)) , yline(3873, lcolor(sky)) scheme(plotplainblind) xlabel(0.22(0.11)1.1)
{res}{txt}
{com}. 
. 
. 
. ****************************************
. *Figure A2: re-weight based on UN staff*
. ****************************************
. 
. use "Heinzel_Reinsberg_Siauwijaya_24_ACCEPT.dta", clear
{txt}
{com}. 
. *overhead
. cmp setup
{res}{txt}$cmp_out      = {res}0
{txt}$cmp_missing  = {res}.
{txt}$cmp_cont     = {res}1
{txt}$cmp_left     = {res}2
{txt}$cmp_right    = {res}3
{txt}$cmp_probit   = {res}4
{txt}$cmp_oprobit  = {res}5
{txt}$cmp_mprobit  = {res}6
{txt}$cmp_int      = {res}7
{txt}$cmp_trunc    = {res}8{txt}  (deprecated)
$cmp_roprobit = {res}9
{txt}$cmp_frac     = {res}10
{txt}
{com}. eststo m1: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( overhead_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe) [pw=mean_weight], indicators($cmp_cont $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     4,189
{txt}{hline 13}{c +}{hline 34}   F(12, 4176)     = {res}    11.79
{txt}       Model {c |} {res} 14.3796739        12  1.19830616   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 424.573934     4,176  .101670003   {txt}R-squared       ={res}    0.0328
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0301
{txt}       Total {c |} {res} 438.953608     4,188  .104812227   {txt}Root MSE        =   {res} .31883

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0163975{col 33}{space 2} .0098631{col 44}{space 1}   -1.66{col 53}{space 3}0.096{col 61}{space 4}-.0357345{col 74}{space 3} .0029395
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0064018{col 33}{space 2}  .009873{col 44}{space 1}   -0.65{col 53}{space 3}0.517{col 61}{space 4}-.0257582{col 74}{space 3} .0129546
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0052284{col 33}{space 2} .0098628{col 44}{space 1}    0.53{col 53}{space 3}0.596{col 61}{space 4} -.014108{col 74}{space 3} .0245648
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0236506{col 33}{space 2} .0098626{col 44}{space 1}   -2.40{col 53}{space 3}0.017{col 61}{space 4}-.0429866{col 74}{space 3}-.0043147
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0408144{col 33}{space 2} .0098627{col 44}{space 1}   -4.14{col 53}{space 3}0.000{col 61}{space 4}-.0601505{col 74}{space 3}-.0214783
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0264769{col 33}{space 2}  .009864{col 44}{space 1}    2.68{col 53}{space 3}0.007{col 61}{space 4} .0071382{col 74}{space 3} .0458156
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2708421{col 33}{space 2} .0574313{col 44}{space 1}    4.72{col 53}{space 3}0.000{col 61}{space 4} .1582462{col 74}{space 3}  .383438
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0793634{col 33}{space 2} .0169076{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.1125114{col 74}{space 3}-.0462155
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0742608{col 33}{space 2} .0155717{col 44}{space 1}   -4.77{col 53}{space 3}0.000{col 61}{space 4}-.1047895{col 74}{space 3}-.0437321
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0818681{col 33}{space 2} .0284243{col 44}{space 1}    2.88{col 53}{space 3}0.004{col 61}{space 4} .0261414{col 74}{space 3} .1375948
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1164272{col 33}{space 2} .0217923{col 44}{space 1}   -5.34{col 53}{space 3}0.000{col 61}{space 4}-.1591516{col 74}{space 3}-.0737028
{txt}{space 17}7  {c |}{col 21}{res}{space 2}  -.09236{col 33}{space 2} .0176205{col 44}{space 1}   -5.24{col 53}{space 3}0.000{col 61}{space 4}-.1269055{col 74}{space 3}-.0578144
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2098012{col 33}{space 2}  .017878{col 44}{space 1}   11.74{col 53}{space 3}0.000{col 61}{space 4} .1747507{col 74}{space 3} .2448517
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,913
{txt}{hline 13}{c +}{hline 34}   F(12, 3900)     = {res}    20.38
{txt}       Model {c |} {res} 71117.0391        12  5926.41993   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1133976.17     3,900  290.763121   {txt}R-squared       ={res}    0.0590
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0562
{txt}       Total {c |} {res} 1205093.21     3,912  308.050412   {txt}Root MSE        =   {res} 17.051

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2267401{col 33}{space 2} .5464273{col 44}{space 1}   -0.41{col 53}{space 3}0.678{col 61}{space 4} -1.29805{col 74}{space 3} .8445701
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7643986{col 33}{space 2} .5464574{col 44}{space 1}    1.40{col 53}{space 3}0.162{col 61}{space 4}-.3069708{col 74}{space 3} 1.835768
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2726482{col 33}{space 2} .5465616{col 44}{space 1}   -0.50{col 53}{space 3}0.618{col 61}{space 4}-1.344222{col 74}{space 3} .7989254
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.000048{col 33}{space 2} .5458796{col 44}{space 1}   -0.00{col 53}{space 3}1.000{col 61}{space 4}-1.070284{col 74}{space 3} 1.070188
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .5898736{col 33}{space 2} .5466045{col 44}{space 1}    1.08{col 53}{space 3}0.281{col 61}{space 4}-.4817841{col 74}{space 3} 1.661531
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.7957177{col 33}{space 2} .5463024{col 44}{space 1}   -1.46{col 53}{space 3}0.145{col 61}{space 4}-1.866783{col 74}{space 3} .2753478
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-4.896758{col 33}{space 2} 4.078353{col 44}{space 1}   -1.20{col 53}{space 3}0.230{col 61}{space 4}-12.89267{col 74}{space 3} 3.099149
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  8.80172{col 33}{space 2} .9559296{col 44}{space 1}    9.21{col 53}{space 3}0.000{col 61}{space 4} 6.927551{col 74}{space 3} 10.67589
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.742894{col 33}{space 2} .8814052{col 44}{space 1}   -1.98{col 53}{space 3}0.048{col 61}{space 4}-3.470953{col 74}{space 3}-.0148352
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.083948{col 33}{space 2} 1.696078{col 44}{space 1}   -1.23{col 53}{space 3}0.219{col 61}{space 4}-5.409232{col 74}{space 3} 1.241337
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.811174{col 33}{space 2} 1.181902{col 44}{space 1}   -2.38{col 53}{space 3}0.017{col 61}{space 4}-5.128379{col 74}{space 3}-.4939702
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4360244{col 33}{space 2} .9911796{col 44}{space 1}   -0.44{col 53}{space 3}0.660{col 61}{space 4}-2.379304{col 74}{space 3} 1.507255
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 14.68872{col 33}{space 2} 1.011076{col 44}{space 1}   14.53{col 53}{space 3}0.000{col 61}{space 4} 12.70643{col 74}{space 3} 16.67101
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-17791.306}  
Iteration 1:{space 3}log pseudolikelihood = {res:-17790.017}  
Iteration 2:{space 3}log pseudolikelihood = {res:-17790.013}  
Iteration 3:{space 3}log pseudolikelihood = {res:-17790.013}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}    286.10
{txt}Log pseudolikelihood = {res}-17790.013{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0164428{col 33}{space 2} .0105907{col 44}{space 1}   -1.55{col 53}{space 3}0.121{col 61}{space 4}-.0372002{col 74}{space 3} .0043146
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.006566{col 33}{space 2} .0106071{col 44}{space 1}   -0.62{col 53}{space 3}0.536{col 61}{space 4}-.0273555{col 74}{space 3} .0142235
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .005064{col 33}{space 2} .0105974{col 44}{space 1}    0.48{col 53}{space 3}0.633{col 61}{space 4}-.0157066{col 74}{space 3} .0258345
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.023681{col 33}{space 2} .0105884{col 44}{space 1}   -2.24{col 53}{space 3}0.025{col 61}{space 4}-.0444338{col 74}{space 3}-.0029282
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0409493{col 33}{space 2} .0106461{col 44}{space 1}   -3.85{col 53}{space 3}0.000{col 61}{space 4}-.0618152{col 74}{space 3}-.0200834
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0265148{col 33}{space 2} .0105886{col 44}{space 1}    2.50{col 53}{space 3}0.012{col 61}{space 4} .0057616{col 74}{space 3}  .047268
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2709199{col 33}{space 2} .1064281{col 44}{space 1}    2.55{col 53}{space 3}0.011{col 61}{space 4} .0623246{col 74}{space 3} .4795151
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0792199{col 33}{space 2} .0203007{col 44}{space 1}   -3.90{col 53}{space 3}0.000{col 61}{space 4}-.1190086{col 74}{space 3}-.0394312
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0741545{col 33}{space 2} .0194047{col 44}{space 1}   -3.82{col 53}{space 3}0.000{col 61}{space 4} -.112187{col 74}{space 3}-.0361221
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0819314{col 33}{space 2} .0469892{col 44}{space 1}    1.74{col 53}{space 3}0.081{col 61}{space 4}-.0101659{col 74}{space 3} .1740286
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1174784{col 33}{space 2} .0224412{col 44}{space 1}   -5.23{col 53}{space 3}0.000{col 61}{space 4}-.1614623{col 74}{space 3}-.0734945
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0923455{col 33}{space 2} .0204429{col 44}{space 1}   -4.52{col 53}{space 3}0.000{col 61}{space 4}-.1324129{col 74}{space 3}-.0522782
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2100149{col 33}{space 2} .0216611{col 44}{space 1}    9.70{col 53}{space 3}0.000{col 61}{space 4}   .16756{col 74}{space 3} .2524699
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1659646{col 33}{space 2} .5768979{col 44}{space 1}   -0.29{col 53}{space 3}0.774{col 61}{space 4}-1.296664{col 74}{space 3} .9647345
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .8190268{col 33}{space 2} .5739393{col 44}{space 1}    1.43{col 53}{space 3}0.154{col 61}{space 4}-.3058735{col 74}{space 3} 1.943927
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2803528{col 33}{space 2} .5748924{col 44}{space 1}   -0.49{col 53}{space 3}0.626{col 61}{space 4}-1.407121{col 74}{space 3} .8464156
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .1337384{col 33}{space 2} .5741909{col 44}{space 1}    0.23{col 53}{space 3}0.816{col 61}{space 4}-.9916551{col 74}{space 3} 1.259132
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .7091912{col 33}{space 2} .5765148{col 44}{space 1}    1.23{col 53}{space 3}0.219{col 61}{space 4}-.4207571{col 74}{space 3} 1.839139
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.8924672{col 33}{space 2} .5753998{col 44}{space 1}   -1.55{col 53}{space 3}0.121{col 61}{space 4} -2.02023{col 74}{space 3} .2352958
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-6.414046{col 33}{space 2} 1.132029{col 44}{space 1}   -5.67{col 53}{space 3}0.000{col 61}{space 4}-8.632782{col 74}{space 3} -4.19531
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.075995{col 33}{space 2}  1.16263{col 44}{space 1}    7.81{col 53}{space 3}0.000{col 61}{space 4} 6.797283{col 74}{space 3} 11.35471
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.513167{col 33}{space 2} .9153327{col 44}{space 1}   -1.65{col 53}{space 3}0.098{col 61}{space 4}-3.307186{col 74}{space 3}  .280852
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.444411{col 33}{space 2} 1.621696{col 44}{space 1}   -1.51{col 53}{space 3}0.132{col 61}{space 4}-5.622876{col 74}{space 3} .7340537
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.465659{col 33}{space 2} .8900037{col 44}{space 1}   -2.77{col 53}{space 3}0.006{col 61}{space 4}-4.210034{col 74}{space 3}-.7212838
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.1060999{col 33}{space 2} .9896247{col 44}{space 1}   -0.11{col 53}{space 3}0.915{col 61}{space 4}-2.045729{col 74}{space 3} 1.833529
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 13.97982{col 33}{space 2} 1.101915{col 44}{space 1}   12.69{col 53}{space 3}0.000{col 61}{space 4}  11.8201{col 74}{space 3} 16.13953
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2}-1.144681{col 33}{space 2}  .019108{col 44}{space 1}  -59.91{col 53}{space 3}0.000{col 61}{space 4}-1.182132{col 74}{space 3} -1.10723
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2}  2.83696{col 33}{space 2} .0305351{col 44}{space 1}   92.91{col 53}{space 3}0.000{col 61}{space 4} 2.777112{col 74}{space 3} 2.896807
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.0866694{col 33}{space 2} .0300694{col 44}{space 1}   -2.88{col 53}{space 3}0.004{col 61}{space 4}-.1456044{col 74}{space 3}-.0277344
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .3183253{col 33}{space 2} .0060826{col 61}{space 4} .3066242{col 74}{space 3}  .330473
{txt}              sig_2 {c |}{col 21}{res}{space 2} 17.06381{col 33}{space 2} .5210453{col 61}{space 4} 16.07254{col 74}{space 3} 18.11622
{txt}             rho_12 {c |}{col 21}{res}{space 2} -.086453{col 33}{space 2} .0298447{col 61}{space 4} -.144584{col 74}{space 3}-.0277273
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5005597 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4994403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5020579 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4979421 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4987687 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5012313 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4959691 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5040309 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4941931 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5058069 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5033129 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4966871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1389827 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0076173 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2101229 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 5}.34703 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0374967 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0863214 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1724291 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  .126497{col 33}{space 2} .0076569{col 44}{space 1}   16.52{col 53}{space 3}0.000{col 61}{space 4} .1114898{col 74}{space 3} .1415041
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1100542{col 33}{space 2} .0072576{col 44}{space 1}   15.16{col 53}{space 3}0.000{col 61}{space 4} .0958296{col 74}{space 3} .1242787
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1215542{col 33}{space 2} .0075713{col 44}{space 1}   16.05{col 53}{space 3}0.000{col 61}{space 4} .1067147{col 74}{space 3} .1363937
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1149883{col 33}{space 2} .0073581{col 44}{space 1}   15.63{col 53}{space 3}0.000{col 61}{space 4} .1005667{col 74}{space 3} .1294098
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1157465{col 33}{space 2} .0074467{col 44}{space 1}   15.54{col 53}{space 3}0.000{col 61}{space 4} .1011513{col 74}{space 3} .1303418
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1208105{col 33}{space 2} .0074781{col 44}{space 1}   16.16{col 53}{space 3}0.000{col 61}{space 4} .1061536{col 74}{space 3} .1354674
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1302207{col 33}{space 2} .0078188{col 44}{space 1}   16.65{col 53}{space 3}0.000{col 61}{space 4} .1148962{col 74}{space 3} .1455452
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1065397{col 33}{space 2} .0070875{col 44}{space 1}   15.03{col 53}{space 3}0.000{col 61}{space 4} .0926484{col 74}{space 3}  .120431
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1389972{col 33}{space 2} .0080325{col 44}{space 1}   17.30{col 53}{space 3}0.000{col 61}{space 4} .1232538{col 74}{space 3} .1547406
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0980479{col 33}{space 2} .0068966{col 44}{space 1}   14.22{col 53}{space 3}0.000{col 61}{space 4} .0845309{col 74}{space 3} .1115649
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1051152{col 33}{space 2} .0071178{col 44}{space 1}   14.77{col 53}{space 3}0.000{col 61}{space 4} .0911646{col 74}{space 3} .1190657
{txt}Private foundation  {c |}{col 21}{res}{space 2}   .13163{col 33}{space 2} .0077901{col 44}{space 1}   16.90{col 53}{space 3}0.000{col 61}{space 4} .1163618{col 74}{space 3} .1468983
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .1815927{col 33}{space 2} .0173972{col 44}{space 1}   10.44{col 53}{space 3}0.000{col 61}{space 4} .1474948{col 74}{space 3} .2156905
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .4525125{col 33}{space 2} .1050238{col 44}{space 1}    4.31{col 53}{space 3}0.000{col 61}{space 4} .2466696{col 74}{space 3} .6583554
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1023728{col 33}{space 2}  .010404{col 44}{space 1}    9.84{col 53}{space 3}0.000{col 61}{space 4} .0819814{col 74}{space 3} .1227641
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1074381{col 33}{space 2} .0085827{col 44}{space 1}   12.52{col 53}{space 3}0.000{col 61}{space 4} .0906164{col 74}{space 3} .1242598
{txt}{space 17}5  {c |}{col 21}{res}{space 2}  .263524{col 33}{space 2} .0436682{col 44}{space 1}    6.03{col 53}{space 3}0.000{col 61}{space 4} .1779359{col 74}{space 3} .3491122
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0641143{col 33}{space 2} .0141875{col 44}{space 1}    4.52{col 53}{space 3}0.000{col 61}{space 4} .0363073{col 74}{space 3} .0919212
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0892471{col 33}{space 2} .0107508{col 44}{space 1}    8.30{col 53}{space 3}0.000{col 61}{space 4}  .068176{col 74}{space 3} .1103182
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead1
{txt}
{com}. 
. eststo m2: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( overhead_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe) [pw=mean_weight] , indicators($cmp_probit $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-1528.1723}  
Iteration 1:{space 3}log likelihood = {res:-1468.9755}  
Iteration 2:{space 3}log likelihood = {res:-1468.4152}  
Iteration 3:{space 3}log likelihood = {res:-1468.4151}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     3,777
{txt}{col 49}LR chi2({res}12{txt}){col 67}= {res}    119.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1468.4151{txt}{col 49}Pseudo R2{col 67}= {res}    0.0391

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0828743{col 33}{space 2} .0514508{col 44}{space 1}   -1.61{col 53}{space 3}0.107{col 61}{space 4}-.1837161{col 74}{space 3} .0179675
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0313062{col 33}{space 2} .0514762{col 44}{space 1}   -0.61{col 53}{space 3}0.543{col 61}{space 4}-.1321977{col 74}{space 3} .0695852
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0242408{col 33}{space 2} .0513947{col 44}{space 1}    0.47{col 53}{space 3}0.637{col 61}{space 4}-.0764908{col 74}{space 3} .1249725
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1285745{col 33}{space 2} .0514968{col 44}{space 1}   -2.50{col 53}{space 3}0.013{col 61}{space 4}-.2295064{col 74}{space 3}-.0276427
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2120619{col 33}{space 2} .0516251{col 44}{space 1}   -4.11{col 53}{space 3}0.000{col 61}{space 4}-.3132452{col 74}{space 3}-.1108785
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  .131577{col 33}{space 2} .0515032{col 44}{space 1}    2.55{col 53}{space 3}0.011{col 61}{space 4} .0306326{col 74}{space 3} .2325215
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .8260812{col 33}{space 2} .2285899{col 44}{space 1}    3.61{col 53}{space 3}0.000{col 61}{space 4} .3780531{col 74}{space 3} 1.274109
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3594048{col 33}{space 2}  .082895{col 44}{space 1}   -4.34{col 53}{space 3}0.000{col 61}{space 4} -.521876{col 74}{space 3}-.1969336
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.336007{col 33}{space 2}  .074964{col 44}{space 1}   -4.48{col 53}{space 3}0.000{col 61}{space 4}-.4829337{col 74}{space 3}-.1890802
{txt}{space 17}5  {c |}{col 21}{res}{space 2}  .280673{col 33}{space 2} .1241039{col 44}{space 1}    2.26{col 53}{space 3}0.024{col 61}{space 4} .0374338{col 74}{space 3} .5239122
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.6165448{col 33}{space 2}  .123084{col 44}{space 1}   -5.01{col 53}{space 3}0.000{col 61}{space 4} -.857785{col 74}{space 3}-.3753045
{txt}{space 17}7  {c |}{col 21}{res}{space 2} -.441835{col 33}{space 2} .0893094{col 44}{space 1}   -4.95{col 53}{space 3}0.000{col 61}{space 4}-.6168782{col 74}{space 3}-.2667918
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7670461{col 33}{space 2} .0872507{col 44}{space 1}   -8.79{col 53}{space 3}0.000{col 61}{space 4}-.9380543{col 74}{space 3}-.5960379
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,913
{txt}{hline 13}{c +}{hline 34}   F(12, 3900)     = {res}    20.38
{txt}       Model {c |} {res} 71117.0391        12  5926.41993   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1133976.17     3,900  290.763121   {txt}R-squared       ={res}    0.0590
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0562
{txt}       Total {c |} {res} 1205093.21     3,912  308.050412   {txt}Root MSE        =   {res} 17.051

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2267401{col 33}{space 2} .5464273{col 44}{space 1}   -0.41{col 53}{space 3}0.678{col 61}{space 4} -1.29805{col 74}{space 3} .8445701
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7643986{col 33}{space 2} .5464574{col 44}{space 1}    1.40{col 53}{space 3}0.162{col 61}{space 4}-.3069708{col 74}{space 3} 1.835768
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2726482{col 33}{space 2} .5465616{col 44}{space 1}   -0.50{col 53}{space 3}0.618{col 61}{space 4}-1.344222{col 74}{space 3} .7989254
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.000048{col 33}{space 2} .5458796{col 44}{space 1}   -0.00{col 53}{space 3}1.000{col 61}{space 4}-1.070284{col 74}{space 3} 1.070188
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .5898736{col 33}{space 2} .5466045{col 44}{space 1}    1.08{col 53}{space 3}0.281{col 61}{space 4}-.4817841{col 74}{space 3} 1.661531
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.7957177{col 33}{space 2} .5463024{col 44}{space 1}   -1.46{col 53}{space 3}0.145{col 61}{space 4}-1.866783{col 74}{space 3} .2753478
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-4.896758{col 33}{space 2} 4.078353{col 44}{space 1}   -1.20{col 53}{space 3}0.230{col 61}{space 4}-12.89267{col 74}{space 3} 3.099149
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  8.80172{col 33}{space 2} .9559296{col 44}{space 1}    9.21{col 53}{space 3}0.000{col 61}{space 4} 6.927551{col 74}{space 3} 10.67589
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.742894{col 33}{space 2} .8814052{col 44}{space 1}   -1.98{col 53}{space 3}0.048{col 61}{space 4}-3.470953{col 74}{space 3}-.0148352
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.083948{col 33}{space 2} 1.696078{col 44}{space 1}   -1.23{col 53}{space 3}0.219{col 61}{space 4}-5.409232{col 74}{space 3} 1.241337
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.811174{col 33}{space 2} 1.181902{col 44}{space 1}   -2.38{col 53}{space 3}0.017{col 61}{space 4}-5.128379{col 74}{space 3}-.4939702
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4360244{col 33}{space 2} .9911796{col 44}{space 1}   -0.44{col 53}{space 3}0.660{col 61}{space 4}-2.379304{col 74}{space 3} 1.507255
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 14.68872{col 33}{space 2} 1.011076{col 44}{space 1}   14.53{col 53}{space 3}0.000{col 61}{space 4} 12.70643{col 74}{space 3} 16.67101
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-18111.471}  
Iteration 1:{space 3}log pseudolikelihood = {res:-18097.528}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-18088.124}  
Iteration 3:{space 3}log pseudolikelihood = {res:-18064.847}  
Iteration 4:{space 3}log pseudolikelihood = {res:-18064.653}  
Iteration 5:{space 3}log pseudolikelihood = {res:-18064.653}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}    274.69
{txt}Log pseudolikelihood = {res}-18064.653{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0725478{col 33}{space 2} .0490134{col 44}{space 1}   -1.48{col 53}{space 3}0.139{col 61}{space 4}-.1686122{col 74}{space 3} .0235166
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0092986{col 33}{space 2} .0477766{col 44}{space 1}   -0.19{col 53}{space 3}0.846{col 61}{space 4}-.1029391{col 74}{space 3} .0843419
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0114002{col 33}{space 2} .0473464{col 44}{space 1}    0.24{col 53}{space 3}0.810{col 61}{space 4} -.081397{col 74}{space 3} .1041974
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0831244{col 33}{space 2}   .04975{col 44}{space 1}   -1.67{col 53}{space 3}0.095{col 61}{space 4}-.1806326{col 74}{space 3} .0143838
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.1903531{col 33}{space 2} .0508125{col 44}{space 1}   -3.75{col 53}{space 3}0.000{col 61}{space 4}-.2899438{col 74}{space 3}-.0907624
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1139568{col 33}{space 2} .0496688{col 44}{space 1}    2.29{col 53}{space 3}0.022{col 61}{space 4} .0166078{col 74}{space 3} .2113058
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .7938678{col 33}{space 2} .2498718{col 44}{space 1}    3.18{col 53}{space 3}0.001{col 61}{space 4}  .304128{col 74}{space 3} 1.283608
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.4268537{col 33}{space 2} .0837146{col 44}{space 1}   -5.10{col 53}{space 3}0.000{col 61}{space 4}-.5909313{col 74}{space 3}-.2627762
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.2043584{col 33}{space 2} .0742212{col 44}{space 1}   -2.75{col 53}{space 3}0.006{col 61}{space 4}-.3498292{col 74}{space 3}-.0588876
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2748656{col 33}{space 2} .1342493{col 44}{space 1}    2.05{col 53}{space 3}0.041{col 61}{space 4} .0117417{col 74}{space 3} .5379895
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4087806{col 33}{space 2} .1178795{col 44}{space 1}   -3.47{col 53}{space 3}0.001{col 61}{space 4}-.6398202{col 74}{space 3} -.177741
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.3388011{col 33}{space 2} .0878549{col 44}{space 1}   -3.86{col 53}{space 3}0.000{col 61}{space 4}-.5109935{col 74}{space 3}-.1666086
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7000561{col 33}{space 2} .0871481{col 44}{space 1}   -8.03{col 53}{space 3}0.000{col 61}{space 4}-.8708632{col 74}{space 3} -.529249
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0215732{col 33}{space 2} .5935586{col 44}{space 1}    0.04{col 53}{space 3}0.971{col 61}{space 4} -1.14178{col 74}{space 3} 1.184927
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.053543{col 33}{space 2} .5890083{col 44}{space 1}    1.79{col 53}{space 3}0.074{col 61}{space 4}-.1008925{col 74}{space 3} 2.207978
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.3090885{col 33}{space 2} .5897285{col 44}{space 1}   -0.52{col 53}{space 3}0.600{col 61}{space 4}-1.464935{col 74}{space 3} .8467581
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .6527898{col 33}{space 2} .5943882{col 44}{space 1}    1.10{col 53}{space 3}0.272{col 61}{space 4}-.5121898{col 74}{space 3} 1.817769
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.072542{col 33}{space 2}  .596086{col 44}{space 1}    1.80{col 53}{space 3}0.072{col 61}{space 4}-.0957654{col 74}{space 3} 2.240849
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-1.198654{col 33}{space 2} .5945624{col 44}{space 1}   -2.02{col 53}{space 3}0.044{col 61}{space 4}-2.363975{col 74}{space 3}-.0333329
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-11.12889{col 33}{space 2} 2.402874{col 44}{space 1}   -4.63{col 53}{space 3}0.000{col 61}{space 4}-15.83844{col 74}{space 3}-6.419345
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  9.88493{col 33}{space 2} 1.175574{col 44}{space 1}    8.41{col 53}{space 3}0.000{col 61}{space 4} 7.580848{col 74}{space 3} 12.18901
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.702643{col 33}{space 2} .9333359{col 44}{space 1}   -0.75{col 53}{space 3}0.452{col 61}{space 4}-2.531948{col 74}{space 3} 1.126662
{txt}{space 17}5  {c |}{col 21}{res}{space 2} -3.49604{col 33}{space 2} 1.706571{col 44}{space 1}   -2.05{col 53}{space 3}0.041{col 61}{space 4}-6.840858{col 74}{space 3}-.1512218
{txt}{space 17}6  {c |}{col 21}{res}{space 2} -1.25598{col 33}{space 2}  .937623{col 44}{space 1}   -1.34{col 53}{space 3}0.180{col 61}{space 4}-3.093687{col 74}{space 3} .5817275
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 1.031061{col 33}{space 2} 1.010826{col 44}{space 1}    1.02{col 53}{space 3}0.308{col 61}{space 4}-.9501211{col 74}{space 3} 3.012242
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 11.35464{col 33}{space 2} 1.142046{col 44}{space 1}    9.94{col 53}{space 3}0.000{col 61}{space 4} 9.116267{col 74}{space 3}   13.593
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2} 2.878307{col 33}{space 2} .0315467{col 44}{space 1}   91.24{col 53}{space 3}0.000{col 61}{space 4} 2.816476{col 74}{space 3} 2.940137
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.9381883{col 33}{space 2} .1919795{col 44}{space 1}   -4.89{col 53}{space 3}0.000{col 61}{space 4}-1.314461{col 74}{space 3}-.5619153
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 17.78413{col 33}{space 2} .5610308{col 61}{space 4} 16.71784{col 74}{space 3} 18.91844
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.7343887{col 33}{space 2} .0884398{col 61}{space 4}-.8653999{col 74}{space 3}-.5093971
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5005597 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4994403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5020579 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4979421 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4987687 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5012313 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4959691 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5040309 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4941931 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5058069 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5033129 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4966871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1389827 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0076173 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2101229 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 5}.34703 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0374967 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0863214 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1724291 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  13.6872{col 33}{space 2} .4601156{col 44}{space 1}   29.75{col 53}{space 3}0.000{col 61}{space 4} 12.78539{col 74}{space 3} 14.58901
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 13.70877{col 33}{space 2} .4130305{col 44}{space 1}   33.19{col 53}{space 3}0.000{col 61}{space 4} 12.89925{col 74}{space 3}  14.5183
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.17337{col 33}{space 2} .4325975{col 44}{space 1}   30.45{col 53}{space 3}0.000{col 61}{space 4}  12.3255{col 74}{space 3} 14.02125
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.22691{col 33}{space 2} .4387881{col 44}{space 1}   32.42{col 53}{space 3}0.000{col 61}{space 4} 13.36691{col 74}{space 3} 15.08692
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  13.8529{col 33}{space 2} .4613849{col 44}{space 1}   30.02{col 53}{space 3}0.000{col 61}{space 4}  12.9486{col 74}{space 3}  14.7572
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 13.54381{col 33}{space 2} .4090427{col 44}{space 1}   33.11{col 53}{space 3}0.000{col 61}{space 4}  12.7421{col 74}{space 3} 14.34552
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.36895{col 33}{space 2} .4534862{col 44}{space 1}   29.48{col 53}{space 3}0.000{col 61}{space 4} 12.48013{col 74}{space 3} 14.25777
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.02174{col 33}{space 2}  .421196{col 44}{space 1}   33.29{col 53}{space 3}0.000{col 61}{space 4} 13.19621{col 74}{space 3} 14.84727
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 13.15548{col 33}{space 2} .4607643{col 44}{space 1}   28.55{col 53}{space 3}0.000{col 61}{space 4} 12.25239{col 74}{space 3} 14.05856
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 14.22802{col 33}{space 2} .4147175{col 44}{space 1}   34.31{col 53}{space 3}0.000{col 61}{space 4} 13.41519{col 74}{space 3} 15.04085
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 14.29333{col 33}{space 2} .4134639{col 44}{space 1}   34.57{col 53}{space 3}0.000{col 61}{space 4} 13.48296{col 74}{space 3} 15.10371
{txt}Private foundation  {c |}{col 21}{res}{space 2} 13.09468{col 33}{space 2} .4607132{col 44}{space 1}   28.42{col 53}{space 3}0.000{col 61}{space 4}  12.1917{col 74}{space 3} 13.99766
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 12.01126{col 33}{space 2} .8246681{col 44}{space 1}   14.56{col 53}{space 3}0.000{col 61}{space 4} 10.39494{col 74}{space 3} 13.62758
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .8823664{col 33}{space 2} 2.320437{col 44}{space 1}    0.38{col 53}{space 3}0.704{col 61}{space 4}-3.665606{col 74}{space 3} 5.430339
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 21.89619{col 33}{space 2} .8457839{col 44}{space 1}   25.89{col 53}{space 3}0.000{col 61}{space 4} 20.23848{col 74}{space 3} 23.55389
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 11.30861{col 33}{space 2} .4913038{col 44}{space 1}   23.02{col 53}{space 3}0.000{col 61}{space 4} 10.34568{col 74}{space 3} 12.27155
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 8.515218{col 33}{space 2} 1.539109{col 44}{space 1}    5.53{col 53}{space 3}0.000{col 61}{space 4}  5.49862{col 74}{space 3} 11.53182
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 10.75528{col 33}{space 2} .4930149{col 44}{space 1}   21.82{col 53}{space 3}0.000{col 61}{space 4} 9.788987{col 74}{space 3} 11.72157
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 13.04232{col 33}{space 2} .5882791{col 44}{space 1}   22.17{col 53}{space 3}0.000{col 61}{space 4} 11.88931{col 74}{space 3} 14.19532
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead2
{txt}
{com}. 
. *amount
. eststo m3: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( amount_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe)  [pw=mean_weight], indicators($cmp_cont $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     4,189
{txt}{hline 13}{c +}{hline 34}   F(12, 4176)     = {res}    11.79
{txt}       Model {c |} {res} 14.3796739        12  1.19830616   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 424.573934     4,176  .101670003   {txt}R-squared       ={res}    0.0328
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0301
{txt}       Total {c |} {res} 438.953608     4,188  .104812227   {txt}Root MSE        =   {res} .31883

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0163975{col 33}{space 2} .0098631{col 44}{space 1}   -1.66{col 53}{space 3}0.096{col 61}{space 4}-.0357345{col 74}{space 3} .0029395
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0064018{col 33}{space 2}  .009873{col 44}{space 1}   -0.65{col 53}{space 3}0.517{col 61}{space 4}-.0257582{col 74}{space 3} .0129546
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0052284{col 33}{space 2} .0098628{col 44}{space 1}    0.53{col 53}{space 3}0.596{col 61}{space 4} -.014108{col 74}{space 3} .0245648
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0236506{col 33}{space 2} .0098626{col 44}{space 1}   -2.40{col 53}{space 3}0.017{col 61}{space 4}-.0429866{col 74}{space 3}-.0043147
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0408144{col 33}{space 2} .0098627{col 44}{space 1}   -4.14{col 53}{space 3}0.000{col 61}{space 4}-.0601505{col 74}{space 3}-.0214783
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0264769{col 33}{space 2}  .009864{col 44}{space 1}    2.68{col 53}{space 3}0.007{col 61}{space 4} .0071382{col 74}{space 3} .0458156
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2708421{col 33}{space 2} .0574313{col 44}{space 1}    4.72{col 53}{space 3}0.000{col 61}{space 4} .1582462{col 74}{space 3}  .383438
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0793634{col 33}{space 2} .0169076{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.1125114{col 74}{space 3}-.0462155
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0742608{col 33}{space 2} .0155717{col 44}{space 1}   -4.77{col 53}{space 3}0.000{col 61}{space 4}-.1047895{col 74}{space 3}-.0437321
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0818681{col 33}{space 2} .0284243{col 44}{space 1}    2.88{col 53}{space 3}0.004{col 61}{space 4} .0261414{col 74}{space 3} .1375948
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1164272{col 33}{space 2} .0217923{col 44}{space 1}   -5.34{col 53}{space 3}0.000{col 61}{space 4}-.1591516{col 74}{space 3}-.0737028
{txt}{space 17}7  {c |}{col 21}{res}{space 2}  -.09236{col 33}{space 2} .0176205{col 44}{space 1}   -5.24{col 53}{space 3}0.000{col 61}{space 4}-.1269055{col 74}{space 3}-.0578144
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2098012{col 33}{space 2}  .017878{col 44}{space 1}   11.74{col 53}{space 3}0.000{col 61}{space 4} .1747507{col 74}{space 3} .2448517
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,796
{txt}{hline 13}{c +}{hline 34}   F(12, 3783)     = {res}     4.99
{txt}       Model {c |} {res} 76943.9799        12  6411.99833   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4863789.27     3,783  1285.69634   {txt}R-squared       ={res}    0.0156
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0125
{txt}       Total {c |} {res} 4940733.25     3,795  1301.90599   {txt}Root MSE        =   {res} 35.856

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .194804{col 33}{space 2} 1.165629{col 44}{space 1}    0.17{col 53}{space 3}0.867{col 61}{space 4}-2.090517{col 74}{space 3} 2.480125
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.446806{col 33}{space 2} 1.166977{col 44}{space 1}    1.24{col 53}{space 3}0.215{col 61}{space 4} -.841158{col 74}{space 3}  3.73477
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2467828{col 33}{space 2} 1.166834{col 44}{space 1}   -0.21{col 53}{space 3}0.833{col 61}{space 4}-2.534467{col 74}{space 3} 2.040901
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0542528{col 33}{space 2} 1.165622{col 44}{space 1}    0.05{col 53}{space 3}0.963{col 61}{space 4}-2.231056{col 74}{space 3} 2.339562
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.445705{col 33}{space 2} 1.167223{col 44}{space 1}    1.24{col 53}{space 3}0.216{col 61}{space 4}-.8427418{col 74}{space 3} 3.734152
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.307016{col 33}{space 2}  1.16586{col 44}{space 1}    1.98{col 53}{space 3}0.048{col 61}{space 4} .0212405{col 74}{space 3} 4.592791
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.770979{col 33}{space 2}  7.41564{col 44}{space 1}   -0.37{col 53}{space 3}0.709{col 61}{space 4}-17.31002{col 74}{space 3} 11.76806
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.292731{col 33}{space 2} 2.023274{col 44}{space 1}    4.59{col 53}{space 3}0.000{col 61}{space 4} 5.325917{col 74}{space 3} 13.25955
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3641825{col 33}{space 2} 1.874246{col 44}{space 1}   -0.19{col 53}{space 3}0.846{col 61}{space 4}-4.038812{col 74}{space 3} 3.310447
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.848512{col 33}{space 2}  3.51625{col 44}{space 1}   -0.81{col 53}{space 3}0.418{col 61}{space 4}-9.742441{col 74}{space 3} 4.045417
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.582135{col 33}{space 2} 2.573479{col 44}{space 1}   -1.39{col 53}{space 3}0.164{col 61}{space 4}-8.627675{col 74}{space 3} 1.463405
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.717985{col 33}{space 2}  2.09816{col 44}{space 1}    1.77{col 53}{space 3}0.076{col 61}{space 4}-.3956492{col 74}{space 3} 7.831619
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.235504{col 33}{space 2} 2.136792{col 44}{space 1}    1.51{col 53}{space 3}0.130{col 61}{space 4}-.9538725{col 74}{space 3} 7.424881
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}amount_clean{res} equation appears ill-conditioned. (Condition number = 20.774531.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-20116.041}  
Iteration 1:{space 3}log pseudolikelihood = {res:-20111.955}  
Iteration 2:{space 3}log pseudolikelihood = {res:-20111.132}  
Iteration 3:{space 3}log pseudolikelihood = {res:-20111.128}  
Iteration 4:{space 3}log pseudolikelihood = {res:-20111.128}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}    185.14
{txt}Log pseudolikelihood = {res}-20111.128{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0172255{col 33}{space 2} .0106436{col 44}{space 1}   -1.62{col 53}{space 3}0.106{col 61}{space 4}-.0380865{col 74}{space 3} .0036354
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0065504{col 33}{space 2} .0106281{col 44}{space 1}   -0.62{col 53}{space 3}0.538{col 61}{space 4}-.0273812{col 74}{space 3} .0142803
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0045482{col 33}{space 2} .0106725{col 44}{space 1}    0.43{col 53}{space 3}0.670{col 61}{space 4}-.0163694{col 74}{space 3} .0254659
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0246126{col 33}{space 2} .0107025{col 44}{space 1}   -2.30{col 53}{space 3}0.021{col 61}{space 4} -.045589{col 74}{space 3}-.0036361
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0413877{col 33}{space 2} .0107143{col 44}{space 1}   -3.86{col 53}{space 3}0.000{col 61}{space 4}-.0623873{col 74}{space 3}-.0203881
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0264875{col 33}{space 2} .0106072{col 44}{space 1}    2.50{col 53}{space 3}0.013{col 61}{space 4} .0056978{col 74}{space 3} .0472772
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2698526{col 33}{space 2} .1058833{col 44}{space 1}    2.55{col 53}{space 3}0.011{col 61}{space 4} .0623252{col 74}{space 3} .4773801
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0784402{col 33}{space 2} .0203709{col 44}{space 1}   -3.85{col 53}{space 3}0.000{col 61}{space 4}-.1183664{col 74}{space 3} -.038514
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0743963{col 33}{space 2} .0193962{col 44}{space 1}   -3.84{col 53}{space 3}0.000{col 61}{space 4}-.1124121{col 74}{space 3}-.0363804
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0810084{col 33}{space 2} .0469285{col 44}{space 1}    1.73{col 53}{space 3}0.084{col 61}{space 4}-.0109698{col 74}{space 3} .1729865
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1166097{col 33}{space 2}   .02242{col 44}{space 1}   -5.20{col 53}{space 3}0.000{col 61}{space 4}-.1605522{col 74}{space 3}-.0726672
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0896682{col 33}{space 2}  .020988{col 44}{space 1}   -4.27{col 53}{space 3}0.000{col 61}{space 4}-.1308039{col 74}{space 3}-.0485325
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2115074{col 33}{space 2} .0218184{col 44}{space 1}    9.69{col 53}{space 3}0.000{col 61}{space 4} .1687442{col 74}{space 3} .2542707
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}amount_clean        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0816845{col 33}{space 2} 1.288178{col 44}{space 1}    0.06{col 53}{space 3}0.949{col 61}{space 4}-2.443098{col 74}{space 3} 2.606467
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.251219{col 33}{space 2} 1.307409{col 44}{space 1}    0.96{col 53}{space 3}0.339{col 61}{space 4}-1.311256{col 74}{space 3} 3.813694
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2563091{col 33}{space 2} 1.307369{col 44}{space 1}   -0.20{col 53}{space 3}0.845{col 61}{space 4}-2.818706{col 74}{space 3} 2.306087
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.3863247{col 33}{space 2} 1.520749{col 44}{space 1}   -0.25{col 53}{space 3}0.799{col 61}{space 4}-3.366938{col 74}{space 3} 2.594289
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .4071852{col 33}{space 2} 1.825935{col 44}{space 1}    0.22{col 53}{space 3}0.824{col 61}{space 4}-3.171582{col 74}{space 3} 3.985953
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.941648{col 33}{space 2} 1.243074{col 44}{space 1}    2.37{col 53}{space 3}0.018{col 61}{space 4} .5052674{col 74}{space 3} 5.378029
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} 2.000635{col 33}{space 2} 5.314429{col 44}{space 1}    0.38{col 53}{space 3}0.707{col 61}{space 4}-8.415455{col 74}{space 3} 12.41672
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 7.497451{col 33}{space 2} 2.707147{col 44}{space 1}    2.77{col 53}{space 3}0.006{col 61}{space 4}  2.19154{col 74}{space 3} 12.80336
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.734363{col 33}{space 2} 1.668817{col 44}{space 1}   -1.04{col 53}{space 3}0.299{col 61}{space 4}-5.005185{col 74}{space 3} 1.536459
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-1.287757{col 33}{space 2}  2.05463{col 44}{space 1}   -0.63{col 53}{space 3}0.531{col 61}{space 4}-5.314758{col 74}{space 3} 2.739244
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-5.826748{col 33}{space 2} 2.444862{col 44}{space 1}   -2.38{col 53}{space 3}0.017{col 61}{space 4}-10.61859{col 74}{space 3}-1.034907
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 1.943527{col 33}{space 2} 3.104312{col 44}{space 1}    0.63{col 53}{space 3}0.531{col 61}{space 4}-4.140813{col 74}{space 3} 8.027867
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 7.754334{col 33}{space 2} 6.215159{col 44}{space 1}    1.25{col 53}{space 3}0.212{col 61}{space 4}-4.427155{col 74}{space 3} 19.93582
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2} -1.14272{col 33}{space 2}  .019772{col 44}{space 1}  -57.79{col 53}{space 3}0.000{col 61}{space 4}-1.181472{col 74}{space 3}-1.103968
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} 3.600305{col 33}{space 2} .1459419{col 44}{space 1}   24.67{col 53}{space 3}0.000{col 61}{space 4} 3.314264{col 74}{space 3} 3.886345
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2} .2316839{col 33}{space 2}  .241592{col 44}{space 1}    0.96{col 53}{space 3}0.338{col 61}{space 4}-.2418278{col 74}{space 3} .7051956
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .3189503{col 33}{space 2} .0063063{col 61}{space 4} .3068266{col 74}{space 3}  .331553
{txt}              sig_2 {c |}{col 21}{res}{space 2} 36.60938{col 33}{space 2} 5.342841{col 61}{space 4} 27.50214{col 74}{space 3} 48.73246
{txt}             rho_12 {c |}{col 21}{res}{space 2} .2276256{col 33}{space 2} .2290743{col 61}{space 4}-.2372214{col 74}{space 3} .6076553
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5019084 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4980916 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5022406 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4977594 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4994139 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5005861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4941789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5058211 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4955623 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5044377 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5029965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4970035 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1419698 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0091841 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2122124 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3413271 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0395392 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0794245 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 4}.176343 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1289289{col 33}{space 2} .0078302{col 44}{space 1}   16.47{col 53}{space 3}0.000{col 61}{space 4}  .113582{col 74}{space 3} .1442758
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1117033{col 33}{space 2} .0073103{col 44}{space 1}   15.28{col 53}{space 3}0.000{col 61}{space 4} .0973754{col 74}{space 3} .1260312
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1236095{col 33}{space 2} .0077106{col 44}{space 1}   16.03{col 53}{space 3}0.000{col 61}{space 4}  .108497{col 74}{space 3}  .138722
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1170591{col 33}{space 2}  .007426{col 44}{space 1}   15.76{col 53}{space 3}0.000{col 61}{space 4} .1025044{col 74}{space 3} .1316137
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1180722{col 33}{space 2} .0076347{col 44}{space 1}   15.47{col 53}{space 3}0.000{col 61}{space 4} .1031085{col 74}{space 3} .1330359
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1226204{col 33}{space 2} .0075369{col 44}{space 1}   16.27{col 53}{space 3}0.000{col 61}{space 4} .1078484{col 74}{space 3} .1373924
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1327985{col 33}{space 2}  .008043{col 44}{space 1}   16.51{col 53}{space 3}0.000{col 61}{space 4} .1170345{col 74}{space 3} .1485626
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  .108186{col 33}{space 2} .0071327{col 44}{space 1}   15.17{col 53}{space 3}0.000{col 61}{space 4} .0942062{col 74}{space 3} .1221657
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1412265{col 33}{space 2} .0082057{col 44}{space 1}   17.21{col 53}{space 3}0.000{col 61}{space 4} .1251436{col 74}{space 3} .1573094
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0998388{col 33}{space 2} .0069547{col 44}{space 1}   14.36{col 53}{space 3}0.000{col 61}{space 4} .0862077{col 74}{space 3} .1134698
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1071846{col 33}{space 2} .0072285{col 44}{space 1}   14.83{col 53}{space 3}0.000{col 61}{space 4} .0930169{col 74}{space 3} .1213522
{txt}Private foundation  {c |}{col 21}{res}{space 2} .1336721{col 33}{space 2} .0078869{col 44}{space 1}   16.95{col 53}{space 3}0.000{col 61}{space 4} .1182141{col 74}{space 3} .1491301
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .1817811{col 33}{space 2} .0173909{col 44}{space 1}   10.45{col 53}{space 3}0.000{col 61}{space 4} .1476956{col 74}{space 3} .2158666
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .4516337{col 33}{space 2} .1045003{col 44}{space 1}    4.32{col 53}{space 3}0.000{col 61}{space 4} .2468169{col 74}{space 3} .6564505
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1033409{col 33}{space 2} .0105041{col 44}{space 1}    9.84{col 53}{space 3}0.000{col 61}{space 4} .0827532{col 74}{space 3} .1239286
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1073848{col 33}{space 2} .0085821{col 44}{space 1}   12.51{col 53}{space 3}0.000{col 61}{space 4} .0905643{col 74}{space 3} .1242053
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2627894{col 33}{space 2} .0436282{col 44}{space 1}    6.02{col 53}{space 3}0.000{col 61}{space 4} .1772798{col 74}{space 3} .3482991
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0651714{col 33}{space 2} .0142084{col 44}{space 1}    4.59{col 53}{space 3}0.000{col 61}{space 4} .0373234{col 74}{space 3} .0930194
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0921129{col 33}{space 2} .0116653{col 44}{space 1}    7.90{col 53}{space 3}0.000{col 61}{space 4} .0692494{col 74}{space 3} .1149764
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount1
{txt}
{com}. 
. eststo m4: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( amount_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe) [pw=mean_weight], indicators($cmp_probit $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-1528.1723}  
Iteration 1:{space 3}log likelihood = {res:-1468.9755}  
Iteration 2:{space 3}log likelihood = {res:-1468.4152}  
Iteration 3:{space 3}log likelihood = {res:-1468.4151}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     3,777
{txt}{col 49}LR chi2({res}12{txt}){col 67}= {res}    119.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1468.4151{txt}{col 49}Pseudo R2{col 67}= {res}    0.0391

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0828743{col 33}{space 2} .0514508{col 44}{space 1}   -1.61{col 53}{space 3}0.107{col 61}{space 4}-.1837161{col 74}{space 3} .0179675
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0313062{col 33}{space 2} .0514762{col 44}{space 1}   -0.61{col 53}{space 3}0.543{col 61}{space 4}-.1321977{col 74}{space 3} .0695852
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0242408{col 33}{space 2} .0513947{col 44}{space 1}    0.47{col 53}{space 3}0.637{col 61}{space 4}-.0764908{col 74}{space 3} .1249725
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1285745{col 33}{space 2} .0514968{col 44}{space 1}   -2.50{col 53}{space 3}0.013{col 61}{space 4}-.2295064{col 74}{space 3}-.0276427
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2120619{col 33}{space 2} .0516251{col 44}{space 1}   -4.11{col 53}{space 3}0.000{col 61}{space 4}-.3132452{col 74}{space 3}-.1108785
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  .131577{col 33}{space 2} .0515032{col 44}{space 1}    2.55{col 53}{space 3}0.011{col 61}{space 4} .0306326{col 74}{space 3} .2325215
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .8260812{col 33}{space 2} .2285899{col 44}{space 1}    3.61{col 53}{space 3}0.000{col 61}{space 4} .3780531{col 74}{space 3} 1.274109
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3594048{col 33}{space 2}  .082895{col 44}{space 1}   -4.34{col 53}{space 3}0.000{col 61}{space 4} -.521876{col 74}{space 3}-.1969336
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.336007{col 33}{space 2}  .074964{col 44}{space 1}   -4.48{col 53}{space 3}0.000{col 61}{space 4}-.4829337{col 74}{space 3}-.1890802
{txt}{space 17}5  {c |}{col 21}{res}{space 2}  .280673{col 33}{space 2} .1241039{col 44}{space 1}    2.26{col 53}{space 3}0.024{col 61}{space 4} .0374338{col 74}{space 3} .5239122
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.6165448{col 33}{space 2}  .123084{col 44}{space 1}   -5.01{col 53}{space 3}0.000{col 61}{space 4} -.857785{col 74}{space 3}-.3753045
{txt}{space 17}7  {c |}{col 21}{res}{space 2} -.441835{col 33}{space 2} .0893094{col 44}{space 1}   -4.95{col 53}{space 3}0.000{col 61}{space 4}-.6168782{col 74}{space 3}-.2667918
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7670461{col 33}{space 2} .0872507{col 44}{space 1}   -8.79{col 53}{space 3}0.000{col 61}{space 4}-.9380543{col 74}{space 3}-.5960379
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,796
{txt}{hline 13}{c +}{hline 34}   F(12, 3783)     = {res}     4.99
{txt}       Model {c |} {res} 76943.9799        12  6411.99833   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4863789.27     3,783  1285.69634   {txt}R-squared       ={res}    0.0156
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0125
{txt}       Total {c |} {res} 4940733.25     3,795  1301.90599   {txt}Root MSE        =   {res} 35.856

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .194804{col 33}{space 2} 1.165629{col 44}{space 1}    0.17{col 53}{space 3}0.867{col 61}{space 4}-2.090517{col 74}{space 3} 2.480125
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.446806{col 33}{space 2} 1.166977{col 44}{space 1}    1.24{col 53}{space 3}0.215{col 61}{space 4} -.841158{col 74}{space 3}  3.73477
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2467828{col 33}{space 2} 1.166834{col 44}{space 1}   -0.21{col 53}{space 3}0.833{col 61}{space 4}-2.534467{col 74}{space 3} 2.040901
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0542528{col 33}{space 2} 1.165622{col 44}{space 1}    0.05{col 53}{space 3}0.963{col 61}{space 4}-2.231056{col 74}{space 3} 2.339562
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.445705{col 33}{space 2} 1.167223{col 44}{space 1}    1.24{col 53}{space 3}0.216{col 61}{space 4}-.8427418{col 74}{space 3} 3.734152
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.307016{col 33}{space 2}  1.16586{col 44}{space 1}    1.98{col 53}{space 3}0.048{col 61}{space 4} .0212405{col 74}{space 3} 4.592791
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.770979{col 33}{space 2}  7.41564{col 44}{space 1}   -0.37{col 53}{space 3}0.709{col 61}{space 4}-17.31002{col 74}{space 3} 11.76806
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.292731{col 33}{space 2} 2.023274{col 44}{space 1}    4.59{col 53}{space 3}0.000{col 61}{space 4} 5.325917{col 74}{space 3} 13.25955
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3641825{col 33}{space 2} 1.874246{col 44}{space 1}   -0.19{col 53}{space 3}0.846{col 61}{space 4}-4.038812{col 74}{space 3} 3.310447
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.848512{col 33}{space 2}  3.51625{col 44}{space 1}   -0.81{col 53}{space 3}0.418{col 61}{space 4}-9.742441{col 74}{space 3} 4.045417
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.582135{col 33}{space 2} 2.573479{col 44}{space 1}   -1.39{col 53}{space 3}0.164{col 61}{space 4}-8.627675{col 74}{space 3} 1.463405
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.717985{col 33}{space 2}  2.09816{col 44}{space 1}    1.77{col 53}{space 3}0.076{col 61}{space 4}-.3956492{col 74}{space 3} 7.831619
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.235504{col 33}{space 2} 2.136792{col 44}{space 1}    1.51{col 53}{space 3}0.130{col 61}{space 4}-.9538725{col 74}{space 3} 7.424881
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}amount_clean{res} equation appears ill-conditioned. (Condition number = 20.774531.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-20435.675}  
Iteration 1:{space 3}log pseudolikelihood = {res:-20435.337}  
Iteration 2:{space 3}log pseudolikelihood = {res:-20435.179}  
Iteration 3:{space 3}log pseudolikelihood = {res:-20435.178}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}    214.41
{txt}Log pseudolikelihood = {res}-20435.178{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.084442{col 33}{space 2} .0549415{col 44}{space 1}   -1.54{col 53}{space 3}0.124{col 61}{space 4}-.1921253{col 74}{space 3} .0232413
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0319381{col 33}{space 2} .0548777{col 44}{space 1}   -0.58{col 53}{space 3}0.561{col 61}{space 4}-.1394964{col 74}{space 3} .0756202
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0231544{col 33}{space 2} .0548401{col 44}{space 1}    0.42{col 53}{space 3}0.673{col 61}{space 4}-.0843303{col 74}{space 3}  .130639
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.129828{col 33}{space 2} .0549253{col 44}{space 1}   -2.36{col 53}{space 3}0.018{col 61}{space 4}-.2374795{col 74}{space 3}-.0221764
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2122126{col 33}{space 2} .0551171{col 44}{space 1}   -3.85{col 53}{space 3}0.000{col 61}{space 4}-.3202401{col 74}{space 3} -.104185
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1305531{col 33}{space 2} .0550267{col 44}{space 1}    2.37{col 53}{space 3}0.018{col 61}{space 4} .0227028{col 74}{space 3} .2384033
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .8268562{col 33}{space 2} .2772245{col 44}{space 1}    2.98{col 53}{space 3}0.003{col 61}{space 4}  .283506{col 74}{space 3} 1.370206
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3624915{col 33}{space 2} .0883793{col 44}{space 1}   -4.10{col 53}{space 3}0.000{col 61}{space 4}-.5357117{col 74}{space 3}-.1892713
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3359838{col 33}{space 2} .0813365{col 44}{space 1}   -4.13{col 53}{space 3}0.000{col 61}{space 4}-.4954005{col 74}{space 3}-.1765672
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2797051{col 33}{space 2} .1516725{col 44}{space 1}    1.84{col 53}{space 3}0.065{col 61}{space 4}-.0175676{col 74}{space 3} .5769777
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.6161686{col 33}{space 2} .1296993{col 44}{space 1}   -4.75{col 53}{space 3}0.000{col 61}{space 4}-.8703746{col 74}{space 3}-.3619626
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4432654{col 33}{space 2} .0951631{col 44}{space 1}   -4.66{col 53}{space 3}0.000{col 61}{space 4}-.6297817{col 74}{space 3}-.2567492
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  -.76278{col 33}{space 2} .0928654{col 44}{space 1}   -8.21{col 53}{space 3}0.000{col 61}{space 4}-.9447929{col 74}{space 3}-.5807671
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}amount_clean        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .1857665{col 33}{space 2} 1.220469{col 44}{space 1}    0.15{col 53}{space 3}0.879{col 61}{space 4}-2.206308{col 74}{space 3} 2.577841
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  1.42018{col 33}{space 2} 1.221445{col 44}{space 1}    1.16{col 53}{space 3}0.245{col 61}{space 4}-.9738082{col 74}{space 3} 3.814169
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2539458{col 33}{space 2} 1.281994{col 44}{space 1}   -0.20{col 53}{space 3}0.843{col 61}{space 4}-2.766609{col 74}{space 3} 2.258717
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0059893{col 33}{space 2} 1.240275{col 44}{space 1}   -0.00{col 53}{space 3}0.996{col 61}{space 4}-2.436885{col 74}{space 3} 2.424906
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.299555{col 33}{space 2} 1.254642{col 44}{space 1}    1.04{col 53}{space 3}0.300{col 61}{space 4}-1.159497{col 74}{space 3} 3.758607
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.390274{col 33}{space 2} 1.255831{col 44}{space 1}    1.90{col 53}{space 3}0.057{col 61}{space 4}-.0711105{col 74}{space 3} 4.851658
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.159892{col 33}{space 2} 1.206165{col 44}{space 1}   -1.79{col 53}{space 3}0.073{col 61}{space 4}-4.523931{col 74}{space 3} .2041481
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.052273{col 33}{space 2} 1.740677{col 44}{space 1}    5.20{col 53}{space 3}0.000{col 61}{space 4}  5.64061{col 74}{space 3} 12.46394
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.5399351{col 33}{space 2} .7790944{col 44}{space 1}   -0.69{col 53}{space 3}0.488{col 61}{space 4}-2.066932{col 74}{space 3} .9870619
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.665774{col 33}{space 2} .6875443{col 44}{space 1}   -3.88{col 53}{space 3}0.000{col 61}{space 4}-4.013337{col 74}{space 3}-1.318212
{txt}{space 17}6  {c |}{col 21}{res}{space 2}  -3.8832{col 33}{space 2} .5838255{col 44}{space 1}   -6.65{col 53}{space 3}0.000{col 61}{space 4}-5.027477{col 74}{space 3}-2.738923
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.486975{col 33}{space 2} 2.539338{col 44}{space 1}    1.37{col 53}{space 3}0.170{col 61}{space 4}-1.490035{col 74}{space 3} 8.463986
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.921286{col 33}{space 2}  2.51121{col 44}{space 1}    1.56{col 53}{space 3}0.118{col 61}{space 4}-1.000596{col 74}{space 3} 8.843168
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2}  3.57832{col 33}{space 2} .1540175{col 44}{space 1}   23.23{col 53}{space 3}0.000{col 61}{space 4} 3.276451{col 74}{space 3} 3.880188
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2} .0633256{col 33}{space 2}  .019767{col 44}{space 1}    3.20{col 53}{space 3}0.001{col 61}{space 4} .0245831{col 74}{space 3} .1020681
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 35.81331{col 33}{space 2} 5.515876{col 61}{space 4} 26.48162{col 74}{space 3} 48.43333
{txt}             rho_12 {c |}{col 21}{res}{space 2} .0632411{col 33}{space 2} .0196879{col 61}{space 4} .0245781{col 74}{space 3} .1017152
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5019084 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4980916 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5022406 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4977594 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4994139 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5005861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4941789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5058211 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4955623 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5044377 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5029965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4970035 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1419698 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0091841 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2122124 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3413271 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0395392 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0794245 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 4}.176343 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.259515{col 33}{space 2} .8799793{col 44}{space 1}    9.39{col 53}{space 3}0.000{col 61}{space 4} 6.534787{col 74}{space 3} 9.984243
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 8.445282{col 33}{space 2} .9337458{col 44}{space 1}    9.04{col 53}{space 3}0.000{col 61}{space 4} 6.615173{col 74}{space 3} 10.27539
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 7.645136{col 33}{space 2} .7836541{col 44}{space 1}    9.76{col 53}{space 3}0.000{col 61}{space 4} 6.109202{col 74}{space 3}  9.18107
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 9.065316{col 33}{space 2} 1.017267{col 44}{space 1}    8.91{col 53}{space 3}0.000{col 61}{space 4} 7.071509{col 74}{space 3} 11.05912
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.479166{col 33}{space 2}  .878001{col 44}{space 1}    9.66{col 53}{space 3}0.000{col 61}{space 4} 6.758315{col 74}{space 3} 10.20002
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  8.22522{col 33}{space 2} .9755858{col 44}{space 1}    8.43{col 53}{space 3}0.000{col 61}{space 4} 6.313107{col 74}{space 3} 10.13733
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.355073{col 33}{space 2} .8170897{col 44}{space 1}   10.23{col 53}{space 3}0.000{col 61}{space 4} 6.753607{col 74}{space 3}  9.95654
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 8.349084{col 33}{space 2} .9993296{col 44}{space 1}    8.35{col 53}{space 3}0.000{col 61}{space 4} 6.390434{col 74}{space 3} 10.30773
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 7.696499{col 33}{space 2} .9917759{col 44}{space 1}    7.76{col 53}{space 3}0.000{col 61}{space 4} 5.752654{col 74}{space 3} 9.640344
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 8.996054{col 33}{space 2} .8408023{col 44}{space 1}   10.70{col 53}{space 3}0.000{col 61}{space 4} 7.348112{col 74}{space 3}   10.644
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 7.164069{col 33}{space 2} .6854828{col 44}{space 1}   10.45{col 53}{space 3}0.000{col 61}{space 4} 5.820548{col 74}{space 3} 8.507591
{txt}Private foundation  {c |}{col 21}{res}{space 2} 9.554343{col 33}{space 2} 1.106469{col 44}{space 1}    8.63{col 53}{space 3}0.000{col 61}{space 4} 7.385703{col 74}{space 3} 11.72298
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 6.434091{col 33}{space 2} .5325726{col 44}{space 1}   12.08{col 53}{space 3}0.000{col 61}{space 4} 5.390268{col 74}{space 3} 7.477914
{txt}{space 17}2  {c |}{col 21}{res}{space 2} 4.274199{col 33}{space 2} 1.141654{col 44}{space 1}    3.74{col 53}{space 3}0.000{col 61}{space 4} 2.036598{col 74}{space 3}   6.5118
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 15.48636{col 33}{space 2} 1.697827{col 44}{space 1}    9.12{col 53}{space 3}0.000{col 61}{space 4} 12.15869{col 74}{space 3} 18.81404
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 5.894156{col 33}{space 2}  .613606{col 44}{space 1}    9.61{col 53}{space 3}0.000{col 61}{space 4}  4.69151{col 74}{space 3} 7.096801
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 3.768316{col 33}{space 2} .5532259{col 44}{space 1}    6.81{col 53}{space 3}0.000{col 61}{space 4} 2.684013{col 74}{space 3} 4.852619
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 2.550891{col 33}{space 2} .2990642{col 44}{space 1}    8.53{col 53}{space 3}0.000{col 61}{space 4} 1.964736{col 74}{space 3} 3.137046
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 9.921066{col 33}{space 2} 2.555071{col 44}{space 1}    3.88{col 53}{space 3}0.000{col 61}{space 4}  4.91322{col 74}{space 3} 14.92891
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount2
{txt}
{com}. 
. *Coefficient plot
. 
. *overhead
. coefplot overhead1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot overhead2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. *amount
. coefplot amount1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot amount2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. graph combine amount2 overhead2, scheme(plotplainblind) 
{res}{txt}
{com}. 
. *****************************************
. *Figure A3: Clusters at individual-level*
. *****************************************
. 
. *overhead
. cmp setup
{res}{txt}$cmp_out      = {res}0
{txt}$cmp_missing  = {res}.
{txt}$cmp_cont     = {res}1
{txt}$cmp_left     = {res}2
{txt}$cmp_right    = {res}3
{txt}$cmp_probit   = {res}4
{txt}$cmp_oprobit  = {res}5
{txt}$cmp_mprobit  = {res}6
{txt}$cmp_int      = {res}7
{txt}$cmp_trunc    = {res}8{txt}  (deprecated)
$cmp_roprobit = {res}9
{txt}$cmp_frac     = {res}10
{txt}
{com}. eststo m1: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( overhead_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe) , indicators($cmp_cont $cmp_cont) iterate(50) difficult vce(cluster id)
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,777
{txt}{hline 13}{c +}{hline 34}   F(12, 3764)     = {res}     8.14
{txt}       Model {c |} {res} 9.93239103        12  .827699252   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 382.638432     3,764  .101657394   {txt}R-squared       ={res}    0.0253
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0222
{txt}       Total {c |} {res} 392.570823     3,776  .103964731   {txt}Root MSE        =   {res} .31884

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0151412{col 33}{space 2} .0103895{col 44}{space 1}   -1.46{col 53}{space 3}0.145{col 61}{space 4}-.0355108{col 74}{space 3} .0052284
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0021123{col 33}{space 2} .0103948{col 44}{space 1}   -0.20{col 53}{space 3}0.839{col 61}{space 4}-.0224923{col 74}{space 3} .0182677
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0047392{col 33}{space 2} .0103844{col 44}{space 1}    0.46{col 53}{space 3}0.648{col 61}{space 4}-.0156204{col 74}{space 3} .0250989
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0267607{col 33}{space 2} .0103846{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0471207{col 74}{space 3}-.0064008
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0411227{col 33}{space 2} .0103837{col 44}{space 1}   -3.96{col 53}{space 3}0.000{col 61}{space 4}-.0614809{col 74}{space 3}-.0207644
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0271724{col 33}{space 2} .0103853{col 44}{space 1}    2.62{col 53}{space 3}0.009{col 61}{space 4}  .006811{col 74}{space 3} .0475338
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2012098{col 33}{space 2} .0666451{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4} .0705458{col 74}{space 3} .3318738
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0767903{col 33}{space 2} .0178859{col 44}{space 1}   -4.29{col 53}{space 3}0.000{col 61}{space 4}-.1118573{col 74}{space 3}-.0417232
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0759744{col 33}{space 2} .0166437{col 44}{space 1}   -4.56{col 53}{space 3}0.000{col 61}{space 4} -.108606{col 74}{space 3}-.0433427
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0670914{col 33}{space 2} .0340767{col 44}{space 1}    1.97{col 53}{space 3}0.049{col 61}{space 4} .0002807{col 74}{space 3}  .133902
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1005365{col 33}{space 2} .0245098{col 44}{space 1}   -4.10{col 53}{space 3}0.000{col 61}{space 4}-.1485903{col 74}{space 3}-.0524826
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0945746{col 33}{space 2} .0185378{col 44}{space 1}   -5.10{col 53}{space 3}0.000{col 61}{space 4}-.1309197{col 74}{space 3}-.0582296
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2100799{col 33}{space 2} .0191019{col 44}{space 1}   11.00{col 53}{space 3}0.000{col 61}{space 4} .1726288{col 74}{space 3} .2475309
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,517
{txt}{hline 13}{c +}{hline 34}   F(12, 3504)     = {res}    18.45
{txt}       Model {c |} {res} 66577.6973        12  5548.14144   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1053894.46     3,504  300.768966   {txt}R-squared       ={res}    0.0594
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0562
{txt}       Total {c |} {res} 1120472.15     3,516  318.678087   {txt}Root MSE        =   {res} 17.343

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1891472{col 33}{space 2}   .58628{col 44}{space 1}   -0.32{col 53}{space 3}0.747{col 61}{space 4}-1.338632{col 74}{space 3} .9603376
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7697317{col 33}{space 2} .5861338{col 44}{space 1}    1.31{col 53}{space 3}0.189{col 61}{space 4}-.3794665{col 74}{space 3}  1.91893
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2618454{col 33}{space 2} .5861812{col 44}{space 1}   -0.45{col 53}{space 3}0.655{col 61}{space 4}-1.411136{col 74}{space 3} .8874457
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  -.00318{col 33}{space 2} .5855543{col 44}{space 1}   -0.01{col 53}{space 3}0.996{col 61}{space 4}-1.151242{col 74}{space 3} 1.144882
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .3977909{col 33}{space 2} .5858588{col 44}{space 1}    0.68{col 53}{space 3}0.497{col 61}{space 4} -.750868{col 74}{space 3}  1.54645
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.8551153{col 33}{space 2} .5856312{col 44}{space 1}   -1.46{col 53}{space 3}0.144{col 61}{space 4}-2.003328{col 74}{space 3} .2930974
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-5.817598{col 33}{space 2} 4.558818{col 44}{space 1}   -1.28{col 53}{space 3}0.202{col 61}{space 4}-14.75581{col 74}{space 3} 3.120609
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 7.755069{col 33}{space 2} 1.030774{col 44}{space 1}    7.52{col 53}{space 3}0.000{col 61}{space 4} 5.734092{col 74}{space 3} 9.776046
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-2.724163{col 33}{space 2} .9599084{col 44}{space 1}   -2.84{col 53}{space 3}0.005{col 61}{space 4}-4.606199{col 74}{space 3}-.8421268
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.931397{col 33}{space 2} 2.067297{col 44}{space 1}   -1.42{col 53}{space 3}0.156{col 61}{space 4}-6.984625{col 74}{space 3} 1.121831
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-4.728951{col 33}{space 2} 1.378856{col 44}{space 1}   -3.43{col 53}{space 3}0.001{col 61}{space 4}-7.432392{col 74}{space 3}-2.025509
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.560462{col 33}{space 2} 1.063398{col 44}{space 1}   -1.47{col 53}{space 3}0.142{col 61}{space 4}-3.645404{col 74}{space 3}   .52448
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 15.70494{col 33}{space 2} 1.100385{col 44}{space 1}   14.27{col 53}{space 3}0.000{col 61}{space 4} 13.54748{col 74}{space 3}  17.8624
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -16050.85}  
Iteration 1:{space 3}log pseudolikelihood = {res:-16049.776}  
Iteration 2:{space 3}log pseudolikelihood = {res:-16049.774}  
Iteration 3:{space 3}log pseudolikelihood = {res:-16049.774}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}     63.22
{txt}Log pseudolikelihood = {res}-16049.774{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{ralign 85:(Std. Err. adjusted for {res:279} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0151954{col 33}{space 2} .0119664{col 44}{space 1}   -1.27{col 53}{space 3}0.204{col 61}{space 4}-.0386492{col 74}{space 3} .0082584
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0022478{col 33}{space 2} .0118278{col 44}{space 1}   -0.19{col 53}{space 3}0.849{col 61}{space 4}-.0254298{col 74}{space 3} .0209342
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0046282{col 33}{space 2} .0122433{col 44}{space 1}    0.38{col 53}{space 3}0.705{col 61}{space 4}-.0193683{col 74}{space 3} .0286247
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0267753{col 33}{space 2} .0127926{col 44}{space 1}   -2.09{col 53}{space 3}0.036{col 61}{space 4}-.0518483{col 74}{space 3}-.0017022
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0412616{col 33}{space 2} .0131299{col 44}{space 1}   -3.14{col 53}{space 3}0.002{col 61}{space 4}-.0669957{col 74}{space 3}-.0155276
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0272457{col 33}{space 2} .0102464{col 44}{space 1}    2.66{col 53}{space 3}0.008{col 61}{space 4} .0071631{col 74}{space 3} .0473284
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2012701{col 33}{space 2}  .311971{col 44}{space 1}    0.65{col 53}{space 3}0.519{col 61}{space 4}-.4101819{col 74}{space 3} .8127222
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0766507{col 33}{space 2} .0445098{col 44}{space 1}   -1.72{col 53}{space 3}0.085{col 61}{space 4}-.1638882{col 74}{space 3} .0105869
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0759023{col 33}{space 2} .0426238{col 44}{space 1}   -1.78{col 53}{space 3}0.075{col 61}{space 4}-.1594434{col 74}{space 3} .0076387
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0671429{col 33}{space 2} .1033383{col 44}{space 1}    0.65{col 53}{space 3}0.516{col 61}{space 4}-.1353965{col 74}{space 3} .2696823
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1008402{col 33}{space 2} .0532427{col 44}{space 1}   -1.89{col 53}{space 3}0.058{col 61}{space 4}-.2051939{col 74}{space 3} .0035136
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0945671{col 33}{space 2} .0445378{col 44}{space 1}   -2.12{col 53}{space 3}0.034{col 61}{space 4}-.1818596{col 74}{space 3}-.0072746
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2102428{col 33}{space 2} .0401787{col 44}{space 1}    5.23{col 53}{space 3}0.000{col 61}{space 4}  .131494{col 74}{space 3} .2889916
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1391453{col 33}{space 2} .5147255{col 44}{space 1}   -0.27{col 53}{space 3}0.787{col 61}{space 4}-1.147989{col 74}{space 3} .8696981
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .810926{col 33}{space 2} .6864831{col 44}{space 1}    1.18{col 53}{space 3}0.237{col 61}{space 4}-.5345561{col 74}{space 3} 2.156408
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.269601{col 33}{space 2} .5416566{col 44}{space 1}   -0.50{col 53}{space 3}0.619{col 61}{space 4}-1.331228{col 74}{space 3} .7920265
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .1381246{col 33}{space 2}  .665594{col 44}{space 1}    0.21{col 53}{space 3}0.836{col 61}{space 4}-1.166416{col 74}{space 3} 1.442665
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}   .52139{col 33}{space 2} .5222415{col 44}{space 1}    1.00{col 53}{space 3}0.318{col 61}{space 4}-.5021845{col 74}{space 3} 1.544964
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} -.954491{col 33}{space 2} .6996332{col 44}{space 1}   -1.36{col 53}{space 3}0.172{col 61}{space 4}-2.325747{col 74}{space 3} .4167649
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} -6.97021{col 33}{space 2}  3.72791{col 44}{space 1}   -1.87{col 53}{space 3}0.062{col 61}{space 4}-14.27678{col 74}{space 3}   .33636
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 8.034242{col 33}{space 2} 4.162918{col 44}{space 1}    1.93{col 53}{space 3}0.054{col 61}{space 4}-.1249264{col 74}{space 3} 16.19341
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-2.477549{col 33}{space 2} 3.376358{col 44}{space 1}   -0.73{col 53}{space 3}0.463{col 61}{space 4}-9.095089{col 74}{space 3} 4.139992
{txt}{space 17}5  {c |}{col 21}{res}{space 2} -3.25937{col 33}{space 2} 3.740139{col 44}{space 1}   -0.87{col 53}{space 3}0.384{col 61}{space 4}-10.58991{col 74}{space 3} 4.071169
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-4.449261{col 33}{space 2} 3.274718{col 44}{space 1}   -1.36{col 53}{space 3}0.174{col 61}{space 4}-10.86759{col 74}{space 3} 1.969069
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.228941{col 33}{space 2} 3.634717{col 44}{space 1}   -0.34{col 53}{space 3}0.735{col 61}{space 4}-8.352855{col 74}{space 3} 5.894972
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 15.00377{col 33}{space 2} 3.304596{col 44}{space 1}    4.54{col 53}{space 3}0.000{col 61}{space 4} 8.526881{col 74}{space 3} 21.48066
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2}-1.144817{col 33}{space 2} .0476776{col 44}{space 1}  -24.01{col 53}{space 3}0.000{col 61}{space 4}-1.238263{col 74}{space 3}-1.051371
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} 2.853531{col 33}{space 2} .0936271{col 44}{space 1}   30.48{col 53}{space 3}0.000{col 61}{space 4} 2.670026{col 74}{space 3} 3.037037
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.0828804{col 33}{space 2} .0551342{col 44}{space 1}   -1.50{col 53}{space 3}0.133{col 61}{space 4}-.1909415{col 74}{space 3} .0251807
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .3182821{col 33}{space 2} .0151749{col 61}{space 4} .2898872{col 74}{space 3} .3494584
{txt}              sig_2 {c |}{col 21}{res}{space 2} 17.34894{col 33}{space 2} 1.624331{col 61}{space 4} 14.44034{col 74}{space 3}  20.8434
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.0826912{col 33}{space 2} .0547572{col 61}{space 4}-.1886544{col 74}{space 3} .0251754
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5003909 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4996091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5011728 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4988272 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993484 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006516 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4949179 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5050821 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4980453 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5019547 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5053427 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4946573 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1329163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0062549 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 4}.223091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3554861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0276257 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0690644 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1855616 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1251998{col 33}{space 2} .0142337{col 44}{space 1}    8.80{col 53}{space 3}0.000{col 61}{space 4} .0973022{col 74}{space 3} .1530974
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1100044{col 33}{space 2} .0139813{col 44}{space 1}    7.87{col 53}{space 3}0.000{col 61}{space 4} .0826015{col 74}{space 3} .1374073
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1187293{col 33}{space 2} .0136945{col 44}{space 1}    8.67{col 53}{space 3}0.000{col 61}{space 4} .0918886{col 74}{space 3} .1455701
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1164815{col 33}{space 2} .0144548{col 44}{space 1}    8.06{col 53}{space 3}0.000{col 61}{space 4} .0881505{col 74}{space 3} .1448125
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1152909{col 33}{space 2} .0147669{col 44}{space 1}    7.81{col 53}{space 3}0.000{col 61}{space 4} .0863484{col 74}{space 3} .1442334
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1199191{col 33}{space 2} .0135432{col 44}{space 1}    8.85{col 53}{space 3}0.000{col 61}{space 4} .0933749{col 74}{space 3} .1464633
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1311317{col 33}{space 2} .0152848{col 44}{space 1}    8.58{col 53}{space 3}0.000{col 61}{space 4}  .101174{col 74}{space 3} .1610895
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1043565{col 33}{space 2} .0132389{col 44}{space 1}    7.88{col 53}{space 3}0.000{col 61}{space 4} .0784087{col 74}{space 3} .1303042
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1383195{col 33}{space 2} .0156804{col 44}{space 1}    8.82{col 53}{space 3}0.000{col 61}{space 4} .1075865{col 74}{space 3} .1690525
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0970579{col 33}{space 2} .0129272{col 44}{space 1}    7.51{col 53}{space 3}0.000{col 61}{space 4}  .071721{col 74}{space 3} .1223948
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1041307{col 33}{space 2} .0128288{col 44}{space 1}    8.12{col 53}{space 3}0.000{col 61}{space 4} .0789868{col 74}{space 3} .1292747
{txt}Private foundation  {c |}{col 21}{res}{space 2} .1313765{col 33}{space 2} .0146606{col 44}{space 1}    8.96{col 53}{space 3}0.000{col 61}{space 4} .1026422{col 74}{space 3} .1601107
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2}  .183089{col 33}{space 2} .0360838{col 44}{space 1}    5.07{col 53}{space 3}0.000{col 61}{space 4} .1123661{col 74}{space 3} .2538119
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .3843592{col 33}{space 2}  .309909{col 44}{space 1}    1.24{col 53}{space 3}0.215{col 61}{space 4}-.2230514{col 74}{space 3} .9917697
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1064384{col 33}{space 2} .0259914{col 44}{space 1}    4.10{col 53}{space 3}0.000{col 61}{space 4} .0554961{col 74}{space 3} .1573806
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1071867{col 33}{space 2} .0226739{col 44}{space 1}    4.73{col 53}{space 3}0.000{col 61}{space 4} .0627466{col 74}{space 3} .1516267
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2502319{col 33}{space 2} .0968549{col 44}{space 1}    2.58{col 53}{space 3}0.010{col 61}{space 4} .0603998{col 74}{space 3}  .440064
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0822489{col 33}{space 2} .0391511{col 44}{space 1}    2.10{col 53}{space 3}0.036{col 61}{space 4} .0055141{col 74}{space 3} .1589836
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0885219{col 33}{space 2} .0261386{col 44}{space 1}    3.39{col 53}{space 3}0.001{col 61}{space 4} .0372913{col 74}{space 3} .1397526
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead1
{txt}
{com}. 
. eststo m2: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( overhead_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe)  , indicators($cmp_probit $cmp_cont) iterate(50) difficult vce(cluster id)
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-1369.3725}  
Iteration 1:{space 3}log likelihood = {res:-1326.6164}  
Iteration 2:{space 3}log likelihood = {res:-1326.2677}  
Iteration 3:{space 3}log likelihood = {res:-1326.2676}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     3,777
{txt}{col 49}LR chi2({res}12{txt}){col 67}= {res}     86.21
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1326.2676{txt}{col 49}Pseudo R2{col 67}= {res}    0.0315

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0781343{col 33}{space 2} .0541271{col 44}{space 1}   -1.44{col 53}{space 3}0.149{col 61}{space 4}-.1842215{col 74}{space 3} .0279529
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0099949{col 33}{space 2}   .05413{col 44}{space 1}   -0.18{col 53}{space 3}0.854{col 61}{space 4}-.1160878{col 74}{space 3}  .096098
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0236655{col 33}{space 2} .0540365{col 44}{space 1}    0.44{col 53}{space 3}0.661{col 61}{space 4}-.0822441{col 74}{space 3} .1295751
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1439533{col 33}{space 2} .0541703{col 44}{space 1}   -2.66{col 53}{space 3}0.008{col 61}{space 4}-.2501252{col 74}{space 3}-.0377815
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2144487{col 33}{space 2} .0543363{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.3209459{col 74}{space 3}-.1079516
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1358982{col 33}{space 2} .0541536{col 44}{space 1}    2.51{col 53}{space 3}0.012{col 61}{space 4}  .029759{col 74}{space 3} .2420373
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .6454714{col 33}{space 2} .2684865{col 44}{space 1}    2.40{col 53}{space 3}0.016{col 61}{space 4} .1192476{col 74}{space 3} 1.171695
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3435499{col 33}{space 2} .0869547{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.5139779{col 74}{space 3}-.1731219
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3433906{col 33}{space 2} .0799382{col 44}{space 1}   -4.30{col 53}{space 3}0.000{col 61}{space 4}-.5000667{col 74}{space 3}-.1867146
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2344987{col 33}{space 2} .1493771{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4}-.0582751{col 74}{space 3} .5272724
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4966062{col 33}{space 2} .1319624{col 44}{space 1}   -3.76{col 53}{space 3}0.000{col 61}{space 4}-.7552478{col 74}{space 3}-.2379645
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4520035{col 33}{space 2} .0935171{col 44}{space 1}   -4.83{col 53}{space 3}0.000{col 61}{space 4}-.6352937{col 74}{space 3}-.2687133
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7683601{col 33}{space 2} .0929148{col 44}{space 1}   -8.27{col 53}{space 3}0.000{col 61}{space 4}-.9504698{col 74}{space 3}-.5862505
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,517
{txt}{hline 13}{c +}{hline 34}   F(12, 3504)     = {res}    18.45
{txt}       Model {c |} {res} 66577.6973        12  5548.14144   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1053894.46     3,504  300.768966   {txt}R-squared       ={res}    0.0594
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0562
{txt}       Total {c |} {res} 1120472.15     3,516  318.678087   {txt}Root MSE        =   {res} 17.343

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1891472{col 33}{space 2}   .58628{col 44}{space 1}   -0.32{col 53}{space 3}0.747{col 61}{space 4}-1.338632{col 74}{space 3} .9603376
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7697317{col 33}{space 2} .5861338{col 44}{space 1}    1.31{col 53}{space 3}0.189{col 61}{space 4}-.3794665{col 74}{space 3}  1.91893
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2618454{col 33}{space 2} .5861812{col 44}{space 1}   -0.45{col 53}{space 3}0.655{col 61}{space 4}-1.411136{col 74}{space 3} .8874457
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  -.00318{col 33}{space 2} .5855543{col 44}{space 1}   -0.01{col 53}{space 3}0.996{col 61}{space 4}-1.151242{col 74}{space 3} 1.144882
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .3977909{col 33}{space 2} .5858588{col 44}{space 1}    0.68{col 53}{space 3}0.497{col 61}{space 4} -.750868{col 74}{space 3}  1.54645
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.8551153{col 33}{space 2} .5856312{col 44}{space 1}   -1.46{col 53}{space 3}0.144{col 61}{space 4}-2.003328{col 74}{space 3} .2930974
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-5.817598{col 33}{space 2} 4.558818{col 44}{space 1}   -1.28{col 53}{space 3}0.202{col 61}{space 4}-14.75581{col 74}{space 3} 3.120609
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 7.755069{col 33}{space 2} 1.030774{col 44}{space 1}    7.52{col 53}{space 3}0.000{col 61}{space 4} 5.734092{col 74}{space 3} 9.776046
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-2.724163{col 33}{space 2} .9599084{col 44}{space 1}   -2.84{col 53}{space 3}0.005{col 61}{space 4}-4.606199{col 74}{space 3}-.8421268
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.931397{col 33}{space 2} 2.067297{col 44}{space 1}   -1.42{col 53}{space 3}0.156{col 61}{space 4}-6.984625{col 74}{space 3} 1.121831
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-4.728951{col 33}{space 2} 1.378856{col 44}{space 1}   -3.43{col 53}{space 3}0.001{col 61}{space 4}-7.432392{col 74}{space 3}-2.025509
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-1.560462{col 33}{space 2} 1.063398{col 44}{space 1}   -1.47{col 53}{space 3}0.142{col 61}{space 4}-3.645404{col 74}{space 3}   .52448
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 15.70494{col 33}{space 2} 1.100385{col 44}{space 1}   14.27{col 53}{space 3}0.000{col 61}{space 4} 13.54748{col 74}{space 3}  17.8624
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-16342.497}  
Iteration 1:{space 3}log pseudolikelihood = {res:-16333.198}  
Iteration 2:{space 3}log pseudolikelihood = {res: -16311.15}  
Iteration 3:{space 3}log pseudolikelihood = {res: -16307.79}  
Iteration 4:{space 3}log pseudolikelihood = {res:-16307.781}  
Iteration 5:{space 3}log pseudolikelihood = {res:-16307.781}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}     59.35
{txt}Log pseudolikelihood = {res}-16307.781{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001

{txt}{ralign 85:(Std. Err. adjusted for {res:279} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0731379{col 33}{space 2} .0568829{col 44}{space 1}   -1.29{col 53}{space 3}0.199{col 61}{space 4}-.1846262{col 74}{space 3} .0383505
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .010371{col 33}{space 2} .0550342{col 44}{space 1}    0.19{col 53}{space 3}0.851{col 61}{space 4}-.0974941{col 74}{space 3}  .118236
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0133426{col 33}{space 2} .0547519{col 44}{space 1}    0.24{col 53}{space 3}0.807{col 61}{space 4}-.0939691{col 74}{space 3} .1206542
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0931999{col 33}{space 2} .0542788{col 44}{space 1}   -1.72{col 53}{space 3}0.086{col 61}{space 4}-.1995843{col 74}{space 3} .0131846
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.1849271{col 33}{space 2} .0605671{col 44}{space 1}   -3.05{col 53}{space 3}0.002{col 61}{space 4}-.3036363{col 74}{space 3}-.0662178
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1180839{col 33}{space 2} .0443119{col 44}{space 1}    2.66{col 53}{space 3}0.008{col 61}{space 4} .0312341{col 74}{space 3} .2049337
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .6566017{col 33}{space 2} .7343282{col 44}{space 1}    0.89{col 53}{space 3}0.371{col 61}{space 4}-.7826552{col 74}{space 3} 2.095859
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3772553{col 33}{space 2} .2043937{col 44}{space 1}   -1.85{col 53}{space 3}0.065{col 61}{space 4}-.7778597{col 74}{space 3} .0233491
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.1890963{col 33}{space 2} .1820959{col 44}{space 1}   -1.04{col 53}{space 3}0.299{col 61}{space 4}-.5459977{col 74}{space 3} .1678051
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2693359{col 33}{space 2} .2921692{col 44}{space 1}    0.92{col 53}{space 3}0.357{col 61}{space 4}-.3033051{col 74}{space 3}  .841977
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.2844476{col 33}{space 2} .2646782{col 44}{space 1}   -1.07{col 53}{space 3}0.283{col 61}{space 4}-.8032074{col 74}{space 3} .2343122
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.3205246{col 33}{space 2} .2148775{col 44}{space 1}   -1.49{col 53}{space 3}0.136{col 61}{space 4}-.7416768{col 74}{space 3} .1006276
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7352048{col 33}{space 2}  .162702{col 44}{space 1}   -4.52{col 53}{space 3}0.000{col 61}{space 4}-1.054095{col 74}{space 3}-.4163148
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0178911{col 33}{space 2} .5256262{col 44}{space 1}    0.03{col 53}{space 3}0.973{col 61}{space 4}-1.012317{col 74}{space 3}   1.0481
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.010766{col 33}{space 2} .7031406{col 44}{space 1}    1.44{col 53}{space 3}0.151{col 61}{space 4}-.3673642{col 74}{space 3} 2.388896
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2999217{col 33}{space 2} .5725641{col 44}{space 1}   -0.52{col 53}{space 3}0.600{col 61}{space 4}-1.422127{col 74}{space 3} .8222833
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7050168{col 33}{space 2} .7235567{col 44}{space 1}    0.97{col 53}{space 3}0.330{col 61}{space 4}-.7131283{col 74}{space 3} 2.123162
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}   .92768{col 33}{space 2} .5674402{col 44}{space 1}    1.63{col 53}{space 3}0.102{col 61}{space 4}-.1844823{col 74}{space 3} 2.039842
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-1.290453{col 33}{space 2} .7441741{col 44}{space 1}   -1.73{col 53}{space 3}0.083{col 61}{space 4}-2.749008{col 74}{space 3} .1681013
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-10.59571{col 33}{space 2} 7.025448{col 44}{space 1}   -1.51{col 53}{space 3}0.132{col 61}{space 4}-24.36533{col 74}{space 3}  3.17392
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 8.949837{col 33}{space 2}  4.09797{col 44}{space 1}    2.18{col 53}{space 3}0.029{col 61}{space 4} .9179639{col 74}{space 3} 16.98171
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -1.53825{col 33}{space 2} 3.277677{col 44}{space 1}   -0.47{col 53}{space 3}0.639{col 61}{space 4}-7.962379{col 74}{space 3} 4.885879
{txt}{space 17}5  {c |}{col 21}{res}{space 2} -4.21073{col 33}{space 2} 4.039337{col 44}{space 1}   -1.04{col 53}{space 3}0.297{col 61}{space 4}-12.12768{col 74}{space 3} 3.706225
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.387384{col 33}{space 2} 3.248767{col 44}{space 1}   -1.04{col 53}{space 3}0.297{col 61}{space 4}-9.754851{col 74}{space 3} 2.980083
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0107883{col 33}{space 2} 3.555573{col 44}{space 1}   -0.00{col 53}{space 3}0.998{col 61}{space 4}-6.979584{col 74}{space 3} 6.958007
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 12.27119{col 33}{space 2} 3.122774{col 44}{space 1}    3.93{col 53}{space 3}0.000{col 61}{space 4} 6.150663{col 74}{space 3} 18.39171
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2} 2.893953{col 33}{space 2}  .096213{col 44}{space 1}   30.08{col 53}{space 3}0.000{col 61}{space 4} 2.705379{col 74}{space 3} 3.082527
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.9102788{col 33}{space 2} .3179003{col 44}{space 1}   -2.86{col 53}{space 3}0.004{col 61}{space 4}-1.533352{col 74}{space 3}-.2872056
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 18.06458{col 33}{space 2} 1.738047{col 61}{space 4} 14.95998{col 74}{space 3} 21.81345
{txt}             rho_12 {c |}{col 21}{res}{space 2} -.721266{col 33}{space 2} .1525207{col 61}{space 4}-.9109965{col 74}{space 3}-.2795608
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5003909 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4996091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5011728 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4988272 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993484 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006516 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4949179 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5050821 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4980453 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5019547 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5053427 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4946573 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1329163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0062549 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 4}.223091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3554861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0276257 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0690644 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1855616 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.83989{col 33}{space 2} .9513885{col 44}{space 1}   14.55{col 53}{space 3}0.000{col 61}{space 4} 11.97521{col 74}{space 3} 15.70458
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 13.85779{col 33}{space 2} .9037919{col 44}{space 1}   15.33{col 53}{space 3}0.000{col 61}{space 4} 12.08639{col 74}{space 3} 15.62919
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.34464{col 33}{space 2} .9164491{col 44}{space 1}   14.56{col 53}{space 3}0.000{col 61}{space 4} 11.54843{col 74}{space 3} 15.14084
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  14.3554{col 33}{space 2} .9957843{col 44}{space 1}   14.42{col 53}{space 3}0.000{col 61}{space 4}  12.4037{col 74}{space 3}  16.3071
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.99899{col 33}{space 2} .9635794{col 44}{space 1}   14.53{col 53}{space 3}0.000{col 61}{space 4} 12.11041{col 74}{space 3} 15.88757
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 13.69907{col 33}{space 2} .9052508{col 44}{space 1}   15.13{col 53}{space 3}0.000{col 61}{space 4} 11.92481{col 74}{space 3} 15.47333
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.49274{col 33}{space 2} .9833685{col 44}{space 1}   13.72{col 53}{space 3}0.000{col 61}{space 4} 11.56537{col 74}{space 3} 15.42011
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.19776{col 33}{space 2}  .937829{col 44}{space 1}   15.14{col 53}{space 3}0.000{col 61}{space 4} 12.35965{col 74}{space 3} 16.03587
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 13.38318{col 33}{space 2} .9479689{col 44}{space 1}   14.12{col 53}{space 3}0.000{col 61}{space 4} 11.52519{col 74}{space 3} 15.24116
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 14.31086{col 33}{space 2} .9200316{col 44}{space 1}   15.55{col 53}{space 3}0.000{col 61}{space 4} 12.50763{col 74}{space 3} 16.11409
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 14.48717{col 33}{space 2} .9454037{col 44}{space 1}   15.32{col 53}{space 3}0.000{col 61}{space 4} 12.63421{col 74}{space 3} 16.34012
{txt}Private foundation  {c |}{col 21}{res}{space 2} 13.19671{col 33}{space 2}  .983756{col 44}{space 1}   13.41{col 53}{space 3}0.000{col 61}{space 4} 11.26859{col 74}{space 3} 15.12484
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 12.81758{col 33}{space 2} 2.943721{col 44}{space 1}    4.35{col 53}{space 3}0.000{col 61}{space 4} 7.047993{col 74}{space 3} 18.58717
{txt}{space 17}2  {c |}{col 21}{res}{space 2} 2.221875{col 33}{space 2} 6.259094{col 44}{space 1}    0.35{col 53}{space 3}0.723{col 61}{space 4}-10.04572{col 74}{space 3} 14.48947
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 21.76742{col 33}{space 2} 2.748209{col 44}{space 1}    7.92{col 53}{space 3}0.000{col 61}{space 4} 16.38103{col 74}{space 3} 27.15381
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 11.27933{col 33}{space 2} 1.277231{col 44}{space 1}    8.83{col 53}{space 3}0.000{col 61}{space 4} 8.776004{col 74}{space 3} 13.78266
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 8.606851{col 33}{space 2} 2.656737{col 44}{space 1}    3.24{col 53}{space 3}0.001{col 61}{space 4} 3.399743{col 74}{space 3} 13.81396
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 9.430197{col 33}{space 2} 1.307467{col 44}{space 1}    7.21{col 53}{space 3}0.000{col 61}{space 4} 6.867607{col 74}{space 3} 11.99279
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 12.80679{col 33}{space 2} 1.847182{col 44}{space 1}    6.93{col 53}{space 3}0.000{col 61}{space 4} 9.186382{col 74}{space 3}  16.4272
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead2
{txt}
{com}. 
. *amount
. eststo m3: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( amount_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe)  [pw=mean_weight], indicators($cmp_cont $cmp_cont) iterate(50) difficult vce(cluster id)
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     4,189
{txt}{hline 13}{c +}{hline 34}   F(12, 4176)     = {res}    11.79
{txt}       Model {c |} {res} 14.3796739        12  1.19830616   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 424.573934     4,176  .101670003   {txt}R-squared       ={res}    0.0328
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0301
{txt}       Total {c |} {res} 438.953608     4,188  .104812227   {txt}Root MSE        =   {res} .31883

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0163975{col 33}{space 2} .0098631{col 44}{space 1}   -1.66{col 53}{space 3}0.096{col 61}{space 4}-.0357345{col 74}{space 3} .0029395
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0064018{col 33}{space 2}  .009873{col 44}{space 1}   -0.65{col 53}{space 3}0.517{col 61}{space 4}-.0257582{col 74}{space 3} .0129546
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0052284{col 33}{space 2} .0098628{col 44}{space 1}    0.53{col 53}{space 3}0.596{col 61}{space 4} -.014108{col 74}{space 3} .0245648
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0236506{col 33}{space 2} .0098626{col 44}{space 1}   -2.40{col 53}{space 3}0.017{col 61}{space 4}-.0429866{col 74}{space 3}-.0043147
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0408144{col 33}{space 2} .0098627{col 44}{space 1}   -4.14{col 53}{space 3}0.000{col 61}{space 4}-.0601505{col 74}{space 3}-.0214783
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0264769{col 33}{space 2}  .009864{col 44}{space 1}    2.68{col 53}{space 3}0.007{col 61}{space 4} .0071382{col 74}{space 3} .0458156
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2708421{col 33}{space 2} .0574313{col 44}{space 1}    4.72{col 53}{space 3}0.000{col 61}{space 4} .1582462{col 74}{space 3}  .383438
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0793634{col 33}{space 2} .0169076{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.1125114{col 74}{space 3}-.0462155
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0742608{col 33}{space 2} .0155717{col 44}{space 1}   -4.77{col 53}{space 3}0.000{col 61}{space 4}-.1047895{col 74}{space 3}-.0437321
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0818681{col 33}{space 2} .0284243{col 44}{space 1}    2.88{col 53}{space 3}0.004{col 61}{space 4} .0261414{col 74}{space 3} .1375948
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1164272{col 33}{space 2} .0217923{col 44}{space 1}   -5.34{col 53}{space 3}0.000{col 61}{space 4}-.1591516{col 74}{space 3}-.0737028
{txt}{space 17}7  {c |}{col 21}{res}{space 2}  -.09236{col 33}{space 2} .0176205{col 44}{space 1}   -5.24{col 53}{space 3}0.000{col 61}{space 4}-.1269055{col 74}{space 3}-.0578144
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2098012{col 33}{space 2}  .017878{col 44}{space 1}   11.74{col 53}{space 3}0.000{col 61}{space 4} .1747507{col 74}{space 3} .2448517
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,796
{txt}{hline 13}{c +}{hline 34}   F(12, 3783)     = {res}     4.99
{txt}       Model {c |} {res} 76943.9799        12  6411.99833   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4863789.27     3,783  1285.69634   {txt}R-squared       ={res}    0.0156
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0125
{txt}       Total {c |} {res} 4940733.25     3,795  1301.90599   {txt}Root MSE        =   {res} 35.856

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .194804{col 33}{space 2} 1.165629{col 44}{space 1}    0.17{col 53}{space 3}0.867{col 61}{space 4}-2.090517{col 74}{space 3} 2.480125
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.446806{col 33}{space 2} 1.166977{col 44}{space 1}    1.24{col 53}{space 3}0.215{col 61}{space 4} -.841158{col 74}{space 3}  3.73477
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2467828{col 33}{space 2} 1.166834{col 44}{space 1}   -0.21{col 53}{space 3}0.833{col 61}{space 4}-2.534467{col 74}{space 3} 2.040901
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0542528{col 33}{space 2} 1.165622{col 44}{space 1}    0.05{col 53}{space 3}0.963{col 61}{space 4}-2.231056{col 74}{space 3} 2.339562
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.445705{col 33}{space 2} 1.167223{col 44}{space 1}    1.24{col 53}{space 3}0.216{col 61}{space 4}-.8427418{col 74}{space 3} 3.734152
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.307016{col 33}{space 2}  1.16586{col 44}{space 1}    1.98{col 53}{space 3}0.048{col 61}{space 4} .0212405{col 74}{space 3} 4.592791
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.770979{col 33}{space 2}  7.41564{col 44}{space 1}   -0.37{col 53}{space 3}0.709{col 61}{space 4}-17.31002{col 74}{space 3} 11.76806
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.292731{col 33}{space 2} 2.023274{col 44}{space 1}    4.59{col 53}{space 3}0.000{col 61}{space 4} 5.325917{col 74}{space 3} 13.25955
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3641825{col 33}{space 2} 1.874246{col 44}{space 1}   -0.19{col 53}{space 3}0.846{col 61}{space 4}-4.038812{col 74}{space 3} 3.310447
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.848512{col 33}{space 2}  3.51625{col 44}{space 1}   -0.81{col 53}{space 3}0.418{col 61}{space 4}-9.742441{col 74}{space 3} 4.045417
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.582135{col 33}{space 2} 2.573479{col 44}{space 1}   -1.39{col 53}{space 3}0.164{col 61}{space 4}-8.627675{col 74}{space 3} 1.463405
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.717985{col 33}{space 2}  2.09816{col 44}{space 1}    1.77{col 53}{space 3}0.076{col 61}{space 4}-.3956492{col 74}{space 3} 7.831619
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.235504{col 33}{space 2} 2.136792{col 44}{space 1}    1.51{col 53}{space 3}0.130{col 61}{space 4}-.9538725{col 74}{space 3} 7.424881
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}amount_clean{res} equation appears ill-conditioned. (Condition number = 20.774531.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-20116.041}  
Iteration 1:{space 3}log pseudolikelihood = {res:-20111.955}  
Iteration 2:{space 3}log pseudolikelihood = {res:-20111.132}  
Iteration 3:{space 3}log pseudolikelihood = {res:-20111.128}  
Iteration 4:{space 3}log pseudolikelihood = {res:-20111.128}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}     54.04
{txt}Log pseudolikelihood = {res}-20111.128{txt}{col 49}Prob > chi2{col 67}= {res}    0.0004

{txt}{ralign 85:(Std. Err. adjusted for {res:276} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0172255{col 33}{space 2} .0124845{col 44}{space 1}   -1.38{col 53}{space 3}0.168{col 61}{space 4}-.0416946{col 74}{space 3} .0072435
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0065504{col 33}{space 2} .0122815{col 44}{space 1}   -0.53{col 53}{space 3}0.594{col 61}{space 4}-.0306218{col 74}{space 3} .0175209
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0045482{col 33}{space 2} .0125672{col 44}{space 1}    0.36{col 53}{space 3}0.717{col 61}{space 4}-.0200831{col 74}{space 3} .0291795
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0246126{col 33}{space 2} .0127267{col 44}{space 1}   -1.93{col 53}{space 3}0.053{col 61}{space 4}-.0495564{col 74}{space 3} .0003313
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0413877{col 33}{space 2} .0145066{col 44}{space 1}   -2.85{col 53}{space 3}0.004{col 61}{space 4}-.0698201{col 74}{space 3}-.0129554
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0264875{col 33}{space 2} .0106693{col 44}{space 1}    2.48{col 53}{space 3}0.013{col 61}{space 4} .0055761{col 74}{space 3} .0473989
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2698526{col 33}{space 2} .3178561{col 44}{space 1}    0.85{col 53}{space 3}0.396{col 61}{space 4}-.3531339{col 74}{space 3} .8928391
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0784402{col 33}{space 2} .0475107{col 44}{space 1}   -1.65{col 53}{space 3}0.099{col 61}{space 4}-.1715595{col 74}{space 3} .0146791
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0743963{col 33}{space 2} .0455163{col 44}{space 1}   -1.63{col 53}{space 3}0.102{col 61}{space 4}-.1636065{col 74}{space 3}  .014814
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0810084{col 33}{space 2} .1023524{col 44}{space 1}    0.79{col 53}{space 3}0.429{col 61}{space 4}-.1195987{col 74}{space 3} .2816154
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1166097{col 33}{space 2} .0518123{col 44}{space 1}   -2.25{col 53}{space 3}0.024{col 61}{space 4}  -.21816{col 74}{space 3}-.0150594
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0896682{col 33}{space 2} .0482701{col 44}{space 1}   -1.86{col 53}{space 3}0.063{col 61}{space 4}-.1842758{col 74}{space 3} .0049394
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2115074{col 33}{space 2} .0431112{col 44}{space 1}    4.91{col 53}{space 3}0.000{col 61}{space 4}  .127011{col 74}{space 3} .2960038
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}amount_clean        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0816845{col 33}{space 2} 1.989901{col 44}{space 1}    0.04{col 53}{space 3}0.967{col 61}{space 4} -3.81845{col 74}{space 3} 3.981819
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.251219{col 33}{space 2} 1.577597{col 44}{space 1}    0.79{col 53}{space 3}0.428{col 61}{space 4}-1.840815{col 74}{space 3} 4.343253
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2563091{col 33}{space 2} 1.420243{col 44}{space 1}   -0.18{col 53}{space 3}0.857{col 61}{space 4}-3.039935{col 74}{space 3} 2.527316
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.3863247{col 33}{space 2} 2.071229{col 44}{space 1}   -0.19{col 53}{space 3}0.852{col 61}{space 4}-4.445859{col 74}{space 3}  3.67321
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .4071852{col 33}{space 2} 2.149635{col 44}{space 1}    0.19{col 53}{space 3}0.850{col 61}{space 4}-3.806023{col 74}{space 3} 4.620393
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.941648{col 33}{space 2} 1.495024{col 44}{space 1}    1.97{col 53}{space 3}0.049{col 61}{space 4} .0114547{col 74}{space 3} 5.871841
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} 2.000635{col 33}{space 2} 9.823567{col 44}{space 1}    0.20{col 53}{space 3}0.839{col 61}{space 4} -17.2532{col 74}{space 3} 21.25447
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 7.497451{col 33}{space 2} 6.344516{col 44}{space 1}    1.18{col 53}{space 3}0.237{col 61}{space 4}-4.937572{col 74}{space 3} 19.93247
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.734363{col 33}{space 2} 3.238502{col 44}{space 1}   -0.54{col 53}{space 3}0.592{col 61}{space 4}-8.081709{col 74}{space 3} 4.612984
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-1.287757{col 33}{space 2} 3.445336{col 44}{space 1}   -0.37{col 53}{space 3}0.709{col 61}{space 4}-8.040492{col 74}{space 3} 5.464978
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-5.826748{col 33}{space 2} 4.075957{col 44}{space 1}   -1.43{col 53}{space 3}0.153{col 61}{space 4}-13.81548{col 74}{space 3} 2.161981
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 1.943527{col 33}{space 2} 5.195409{col 44}{space 1}    0.37{col 53}{space 3}0.708{col 61}{space 4}-8.239288{col 74}{space 3} 12.12634
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 7.754334{col 33}{space 2} 9.185766{col 44}{space 1}    0.84{col 53}{space 3}0.399{col 61}{space 4}-10.24944{col 74}{space 3}  25.7581
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2} -1.14272{col 33}{space 2} .0494126{col 44}{space 1}  -23.13{col 53}{space 3}0.000{col 61}{space 4}-1.239567{col 74}{space 3}-1.045873
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} 3.600305{col 33}{space 2} .2159128{col 44}{space 1}   16.67{col 53}{space 3}0.000{col 61}{space 4} 3.177123{col 74}{space 3} 4.023486
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2} .2316839{col 33}{space 2} .3815397{col 44}{space 1}    0.61{col 53}{space 3}0.544{col 61}{space 4}-.5161201{col 74}{space 3} .9794879
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .3189503{col 33}{space 2} .0157602{col 61}{space 4} .2895095{col 74}{space 3} .3513849
{txt}              sig_2 {c |}{col 21}{res}{space 2} 36.60938{col 33}{space 2} 7.904433{col 61}{space 4} 23.97768{col 74}{space 3} 55.89561
{txt}             rho_12 {c |}{col 21}{res}{space 2} .2276256{col 33}{space 2} .3617708{col 61}{space 4}-.4746999{col 74}{space 3} .7528441
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5019084 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4980916 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5022406 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4977594 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4994139 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5005861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4941789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5058211 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4955623 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5044377 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5029965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4970035 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1419698 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0091841 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2122124 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3413271 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0395392 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0794245 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 4}.176343 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1289289{col 33}{space 2} .0149739{col 44}{space 1}    8.61{col 53}{space 3}0.000{col 61}{space 4} .0995806{col 74}{space 3} .1582771
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1117033{col 33}{space 2} .0145404{col 44}{space 1}    7.68{col 53}{space 3}0.000{col 61}{space 4} .0832047{col 74}{space 3}  .140202
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1236095{col 33}{space 2} .0148234{col 44}{space 1}    8.34{col 53}{space 3}0.000{col 61}{space 4} .0945563{col 74}{space 3} .1526628
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1170591{col 33}{space 2} .0146087{col 44}{space 1}    8.01{col 53}{space 3}0.000{col 61}{space 4} .0884265{col 74}{space 3} .1456916
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1180722{col 33}{space 2} .0153245{col 44}{space 1}    7.70{col 53}{space 3}0.000{col 61}{space 4} .0880368{col 74}{space 3} .1481076
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1226204{col 33}{space 2}   .01421{col 44}{space 1}    8.63{col 53}{space 3}0.000{col 61}{space 4} .0947692{col 74}{space 3} .1504716
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1327985{col 33}{space 2} .0156989{col 44}{space 1}    8.46{col 53}{space 3}0.000{col 61}{space 4} .1020292{col 74}{space 3} .1635679
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  .108186{col 33}{space 2} .0138888{col 44}{space 1}    7.79{col 53}{space 3}0.000{col 61}{space 4} .0809644{col 74}{space 3} .1354075
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1412265{col 33}{space 2} .0165387{col 44}{space 1}    8.54{col 53}{space 3}0.000{col 61}{space 4} .1088113{col 74}{space 3} .1736417
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0998388{col 33}{space 2} .0137907{col 44}{space 1}    7.24{col 53}{space 3}0.000{col 61}{space 4} .0728095{col 74}{space 3}  .126868
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1071846{col 33}{space 2} .0134479{col 44}{space 1}    7.97{col 53}{space 3}0.000{col 61}{space 4} .0808271{col 74}{space 3}  .133542
{txt}Private foundation  {c |}{col 21}{res}{space 2} .1336721{col 33}{space 2} .0153018{col 44}{space 1}    8.74{col 53}{space 3}0.000{col 61}{space 4} .1036811{col 74}{space 3} .1636631
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .1817811{col 33}{space 2} .0392948{col 44}{space 1}    4.63{col 53}{space 3}0.000{col 61}{space 4} .1047646{col 74}{space 3} .2587975
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .4516337{col 33}{space 2} .3154976{col 44}{space 1}    1.43{col 53}{space 3}0.152{col 61}{space 4}-.1667303{col 74}{space 3} 1.069998
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1033409{col 33}{space 2} .0264885{col 44}{space 1}    3.90{col 53}{space 3}0.000{col 61}{space 4} .0514244{col 74}{space 3} .1552573
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1073848{col 33}{space 2} .0229558{col 44}{space 1}    4.68{col 53}{space 3}0.000{col 61}{space 4} .0623923{col 74}{space 3} .1523773
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2627894{col 33}{space 2} .0945498{col 44}{space 1}    2.78{col 53}{space 3}0.005{col 61}{space 4} .0774753{col 74}{space 3} .4481035
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0651714{col 33}{space 2} .0338166{col 44}{space 1}    1.93{col 53}{space 3}0.054{col 61}{space 4} -.001108{col 74}{space 3} .1314508
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0921129{col 33}{space 2} .0277563{col 44}{space 1}    3.32{col 53}{space 3}0.001{col 61}{space 4} .0377115{col 74}{space 3} .1465142
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount1
{txt}
{com}. 
. eststo m4: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( amount_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe) [pw=mean_weight], indicators($cmp_probit $cmp_cont) iterate(50) difficult vce(cluster id)
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-1528.1723}  
Iteration 1:{space 3}log likelihood = {res:-1468.9755}  
Iteration 2:{space 3}log likelihood = {res:-1468.4152}  
Iteration 3:{space 3}log likelihood = {res:-1468.4151}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     3,777
{txt}{col 49}LR chi2({res}12{txt}){col 67}= {res}    119.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1468.4151{txt}{col 49}Pseudo R2{col 67}= {res}    0.0391

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0828743{col 33}{space 2} .0514508{col 44}{space 1}   -1.61{col 53}{space 3}0.107{col 61}{space 4}-.1837161{col 74}{space 3} .0179675
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0313062{col 33}{space 2} .0514762{col 44}{space 1}   -0.61{col 53}{space 3}0.543{col 61}{space 4}-.1321977{col 74}{space 3} .0695852
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0242408{col 33}{space 2} .0513947{col 44}{space 1}    0.47{col 53}{space 3}0.637{col 61}{space 4}-.0764908{col 74}{space 3} .1249725
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1285745{col 33}{space 2} .0514968{col 44}{space 1}   -2.50{col 53}{space 3}0.013{col 61}{space 4}-.2295064{col 74}{space 3}-.0276427
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2120619{col 33}{space 2} .0516251{col 44}{space 1}   -4.11{col 53}{space 3}0.000{col 61}{space 4}-.3132452{col 74}{space 3}-.1108785
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  .131577{col 33}{space 2} .0515032{col 44}{space 1}    2.55{col 53}{space 3}0.011{col 61}{space 4} .0306326{col 74}{space 3} .2325215
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .8260812{col 33}{space 2} .2285899{col 44}{space 1}    3.61{col 53}{space 3}0.000{col 61}{space 4} .3780531{col 74}{space 3} 1.274109
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3594048{col 33}{space 2}  .082895{col 44}{space 1}   -4.34{col 53}{space 3}0.000{col 61}{space 4} -.521876{col 74}{space 3}-.1969336
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.336007{col 33}{space 2}  .074964{col 44}{space 1}   -4.48{col 53}{space 3}0.000{col 61}{space 4}-.4829337{col 74}{space 3}-.1890802
{txt}{space 17}5  {c |}{col 21}{res}{space 2}  .280673{col 33}{space 2} .1241039{col 44}{space 1}    2.26{col 53}{space 3}0.024{col 61}{space 4} .0374338{col 74}{space 3} .5239122
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.6165448{col 33}{space 2}  .123084{col 44}{space 1}   -5.01{col 53}{space 3}0.000{col 61}{space 4} -.857785{col 74}{space 3}-.3753045
{txt}{space 17}7  {c |}{col 21}{res}{space 2} -.441835{col 33}{space 2} .0893094{col 44}{space 1}   -4.95{col 53}{space 3}0.000{col 61}{space 4}-.6168782{col 74}{space 3}-.2667918
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7670461{col 33}{space 2} .0872507{col 44}{space 1}   -8.79{col 53}{space 3}0.000{col 61}{space 4}-.9380543{col 74}{space 3}-.5960379
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,796
{txt}{hline 13}{c +}{hline 34}   F(12, 3783)     = {res}     4.99
{txt}       Model {c |} {res} 76943.9799        12  6411.99833   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4863789.27     3,783  1285.69634   {txt}R-squared       ={res}    0.0156
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0125
{txt}       Total {c |} {res} 4940733.25     3,795  1301.90599   {txt}Root MSE        =   {res} 35.856

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .194804{col 33}{space 2} 1.165629{col 44}{space 1}    0.17{col 53}{space 3}0.867{col 61}{space 4}-2.090517{col 74}{space 3} 2.480125
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.446806{col 33}{space 2} 1.166977{col 44}{space 1}    1.24{col 53}{space 3}0.215{col 61}{space 4} -.841158{col 74}{space 3}  3.73477
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2467828{col 33}{space 2} 1.166834{col 44}{space 1}   -0.21{col 53}{space 3}0.833{col 61}{space 4}-2.534467{col 74}{space 3} 2.040901
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0542528{col 33}{space 2} 1.165622{col 44}{space 1}    0.05{col 53}{space 3}0.963{col 61}{space 4}-2.231056{col 74}{space 3} 2.339562
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.445705{col 33}{space 2} 1.167223{col 44}{space 1}    1.24{col 53}{space 3}0.216{col 61}{space 4}-.8427418{col 74}{space 3} 3.734152
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.307016{col 33}{space 2}  1.16586{col 44}{space 1}    1.98{col 53}{space 3}0.048{col 61}{space 4} .0212405{col 74}{space 3} 4.592791
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.770979{col 33}{space 2}  7.41564{col 44}{space 1}   -0.37{col 53}{space 3}0.709{col 61}{space 4}-17.31002{col 74}{space 3} 11.76806
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.292731{col 33}{space 2} 2.023274{col 44}{space 1}    4.59{col 53}{space 3}0.000{col 61}{space 4} 5.325917{col 74}{space 3} 13.25955
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3641825{col 33}{space 2} 1.874246{col 44}{space 1}   -0.19{col 53}{space 3}0.846{col 61}{space 4}-4.038812{col 74}{space 3} 3.310447
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.848512{col 33}{space 2}  3.51625{col 44}{space 1}   -0.81{col 53}{space 3}0.418{col 61}{space 4}-9.742441{col 74}{space 3} 4.045417
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.582135{col 33}{space 2} 2.573479{col 44}{space 1}   -1.39{col 53}{space 3}0.164{col 61}{space 4}-8.627675{col 74}{space 3} 1.463405
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.717985{col 33}{space 2}  2.09816{col 44}{space 1}    1.77{col 53}{space 3}0.076{col 61}{space 4}-.3956492{col 74}{space 3} 7.831619
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.235504{col 33}{space 2} 2.136792{col 44}{space 1}    1.51{col 53}{space 3}0.130{col 61}{space 4}-.9538725{col 74}{space 3} 7.424881
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}amount_clean{res} equation appears ill-conditioned. (Condition number = 20.774531.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-20435.675}  
Iteration 1:{space 3}log pseudolikelihood = {res:-20435.337}  
Iteration 2:{space 3}log pseudolikelihood = {res:-20435.179}  
Iteration 3:{space 3}log pseudolikelihood = {res:-20435.178}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}    109.69
{txt}Log pseudolikelihood = {res}-20435.178{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{ralign 85:(Std. Err. adjusted for {res:276} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.084442{col 33}{space 2} .0649085{col 44}{space 1}   -1.30{col 53}{space 3}0.193{col 61}{space 4}-.2116602{col 74}{space 3} .0427762
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0319381{col 33}{space 2} .0633719{col 44}{space 1}   -0.50{col 53}{space 3}0.614{col 61}{space 4}-.1561447{col 74}{space 3} .0922685
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0231544{col 33}{space 2} .0632601{col 44}{space 1}    0.37{col 53}{space 3}0.714{col 61}{space 4}-.1008331{col 74}{space 3} .1471418
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.129828{col 33}{space 2} .0647008{col 44}{space 1}   -2.01{col 53}{space 3}0.045{col 61}{space 4}-.2566391{col 74}{space 3}-.0030168
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2122126{col 33}{space 2} .0715096{col 44}{space 1}   -2.97{col 53}{space 3}0.003{col 61}{space 4}-.3523689{col 74}{space 3}-.0720563
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1305531{col 33}{space 2} .0539879{col 44}{space 1}    2.42{col 53}{space 3}0.016{col 61}{space 4} .0247387{col 74}{space 3} .2363675
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .8268562{col 33}{space 2} .8193313{col 44}{space 1}    1.01{col 53}{space 3}0.313{col 61}{space 4}-.7790037{col 74}{space 3} 2.432716
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3624915{col 33}{space 2} .2089275{col 44}{space 1}   -1.74{col 53}{space 3}0.083{col 61}{space 4}-.7719818{col 74}{space 3} .0469988
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3359838{col 33}{space 2} .1961004{col 44}{space 1}   -1.71{col 53}{space 3}0.087{col 61}{space 4}-.7203335{col 74}{space 3} .0483659
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2797051{col 33}{space 2} .3342099{col 44}{space 1}    0.84{col 53}{space 3}0.403{col 61}{space 4}-.3753343{col 74}{space 3} .9347445
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.6161686{col 33}{space 2} .3055183{col 44}{space 1}   -2.02{col 53}{space 3}0.044{col 61}{space 4}-1.214974{col 74}{space 3}-.0173637
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4432654{col 33}{space 2} .2269659{col 44}{space 1}   -1.95{col 53}{space 3}0.051{col 61}{space 4}-.8881104{col 74}{space 3} .0015796
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  -.76278{col 33}{space 2} .1714046{col 44}{space 1}   -4.45{col 53}{space 3}0.000{col 61}{space 4}-1.098727{col 74}{space 3}-.4268332
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}amount_clean        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .1857665{col 33}{space 2} 1.948836{col 44}{space 1}    0.10{col 53}{space 3}0.924{col 61}{space 4}-3.633882{col 74}{space 3} 4.005415
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  1.42018{col 33}{space 2} 1.483077{col 44}{space 1}    0.96{col 53}{space 3}0.338{col 61}{space 4}-1.486597{col 74}{space 3} 4.326957
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2539458{col 33}{space 2}  1.39196{col 44}{space 1}   -0.18{col 53}{space 3}0.855{col 61}{space 4}-2.982137{col 74}{space 3} 2.474246
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0059893{col 33}{space 2} 1.547991{col 44}{space 1}   -0.00{col 53}{space 3}0.997{col 61}{space 4}-3.039995{col 74}{space 3} 3.028017
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.299555{col 33}{space 2} .9319963{col 44}{space 1}    1.39{col 53}{space 3}0.163{col 61}{space 4}-.5271244{col 74}{space 3} 3.126234
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.390274{col 33}{space 2} 1.454844{col 44}{space 1}    1.64{col 53}{space 3}0.100{col 61}{space 4}-.4611674{col 74}{space 3} 5.241715
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.159892{col 33}{space 2} 3.554849{col 44}{space 1}   -0.61{col 53}{space 3}0.543{col 61}{space 4}-9.127267{col 74}{space 3} 4.807484
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.052273{col 33}{space 2} 5.311356{col 44}{space 1}    1.70{col 53}{space 3}0.088{col 61}{space 4}-1.357793{col 74}{space 3} 19.46234
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.5399351{col 33}{space 2} 2.104196{col 44}{space 1}   -0.26{col 53}{space 3}0.797{col 61}{space 4}-4.664084{col 74}{space 3} 3.584214
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.665774{col 33}{space 2} 1.470408{col 44}{space 1}   -1.81{col 53}{space 3}0.070{col 61}{space 4}-5.547721{col 74}{space 3} .2161724
{txt}{space 17}6  {c |}{col 21}{res}{space 2}  -3.8832{col 33}{space 2} 1.434546{col 44}{space 1}   -2.71{col 53}{space 3}0.007{col 61}{space 4}-6.694859{col 74}{space 3}-1.071541
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.486975{col 33}{space 2} 4.272372{col 44}{space 1}    0.82{col 53}{space 3}0.414{col 61}{space 4} -4.88672{col 74}{space 3} 11.86067
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.921286{col 33}{space 2} 3.591107{col 44}{space 1}    1.09{col 53}{space 3}0.275{col 61}{space 4}-3.117154{col 74}{space 3} 10.95973
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2}  3.57832{col 33}{space 2} .2290737{col 44}{space 1}   15.62{col 53}{space 3}0.000{col 61}{space 4} 3.129343{col 74}{space 3} 4.027296
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2} .0633256{col 33}{space 2} .0425581{col 44}{space 1}    1.49{col 53}{space 3}0.137{col 61}{space 4}-.0200868{col 74}{space 3}  .146738
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 35.81331{col 33}{space 2} 8.203887{col 61}{space 4} 22.85896{col 74}{space 3} 56.10897
{txt}             rho_12 {c |}{col 21}{res}{space 2} .0632411{col 33}{space 2} .0423879{col 61}{space 4}-.0200841{col 74}{space 3} .1456938
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5019084 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4980916 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5022406 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4977594 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4994139 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5005861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4941789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5058211 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4955623 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5044377 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5029965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4970035 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1419698 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0091841 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2122124 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3413271 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0395392 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0794245 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 4}.176343 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.259515{col 33}{space 2} 1.919618{col 44}{space 1}    4.30{col 53}{space 3}0.000{col 61}{space 4} 4.497134{col 74}{space 3}  12.0219
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 8.445282{col 33}{space 2} 1.787115{col 44}{space 1}    4.73{col 53}{space 3}0.000{col 61}{space 4} 4.942601{col 74}{space 3} 11.94796
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 7.645136{col 33}{space 2} 1.659365{col 44}{space 1}    4.61{col 53}{space 3}0.000{col 61}{space 4} 4.392839{col 74}{space 3} 10.89743
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 9.065316{col 33}{space 2} 1.824955{col 44}{space 1}    4.97{col 53}{space 3}0.000{col 61}{space 4}  5.48847{col 74}{space 3} 12.64216
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.479166{col 33}{space 2} 1.652561{col 44}{space 1}    5.13{col 53}{space 3}0.000{col 61}{space 4} 5.240206{col 74}{space 3} 11.71813
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  8.22522{col 33}{space 2} 1.794123{col 44}{space 1}    4.58{col 53}{space 3}0.000{col 61}{space 4} 4.708802{col 74}{space 3} 11.74164
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.355073{col 33}{space 2}  1.55651{col 44}{space 1}    5.37{col 53}{space 3}0.000{col 61}{space 4}  5.30437{col 74}{space 3} 11.40578
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 8.349084{col 33}{space 2} 1.934304{col 44}{space 1}    4.32{col 53}{space 3}0.000{col 61}{space 4} 4.557918{col 74}{space 3} 12.14025
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 7.696499{col 33}{space 2}  1.73629{col 44}{space 1}    4.43{col 53}{space 3}0.000{col 61}{space 4} 4.293434{col 74}{space 3} 11.09956
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 8.996054{col 33}{space 2} 1.551323{col 44}{space 1}    5.80{col 53}{space 3}0.000{col 61}{space 4} 5.955517{col 74}{space 3} 12.03659
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 7.164069{col 33}{space 2} 1.288541{col 44}{space 1}    5.56{col 53}{space 3}0.000{col 61}{space 4} 4.638575{col 74}{space 3} 9.689564
{txt}Private foundation  {c |}{col 21}{res}{space 2} 9.554343{col 33}{space 2} 2.096649{col 44}{space 1}    4.56{col 53}{space 3}0.000{col 61}{space 4} 5.444987{col 74}{space 3}  13.6637
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 6.434091{col 33}{space 2} 1.319705{col 44}{space 1}    4.88{col 53}{space 3}0.000{col 61}{space 4} 3.847516{col 74}{space 3} 9.020665
{txt}{space 17}2  {c |}{col 21}{res}{space 2} 4.274199{col 33}{space 2} 3.397778{col 44}{space 1}    1.26{col 53}{space 3}0.208{col 61}{space 4}-2.385324{col 74}{space 3} 10.93372
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 15.48636{col 33}{space 2} 5.277024{col 44}{space 1}    2.93{col 53}{space 3}0.003{col 61}{space 4} 5.143588{col 74}{space 3} 25.82914
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 5.894156{col 33}{space 2} 1.713034{col 44}{space 1}    3.44{col 53}{space 3}0.001{col 61}{space 4} 2.536671{col 74}{space 3}  9.25164
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 3.768316{col 33}{space 2} .9223828{col 44}{space 1}    4.09{col 53}{space 3}0.000{col 61}{space 4} 1.960479{col 74}{space 3} 5.576153
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 2.550891{col 33}{space 2} .6694649{col 44}{space 1}    3.81{col 53}{space 3}0.000{col 61}{space 4} 1.238764{col 74}{space 3} 3.863018
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 9.921066{col 33}{space 2} 4.175145{col 44}{space 1}    2.38{col 53}{space 3}0.017{col 61}{space 4} 1.737932{col 74}{space 3}  18.1042
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount2
{txt}
{com}. 
. *Coefficient plot
. 
. *overhead
. coefplot overhead1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot overhead2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. *amount
. coefplot amount1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot amount2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. graph combine amount2 overhead2, scheme(plotplainblind) 
{res}{txt}
{com}. 
. ******************************************
. *Figure A4: Clustered SEs and re-weighted*
. ******************************************
. 
. *overhead
. cmp setup
{res}{txt}$cmp_out      = {res}0
{txt}$cmp_missing  = {res}.
{txt}$cmp_cont     = {res}1
{txt}$cmp_left     = {res}2
{txt}$cmp_right    = {res}3
{txt}$cmp_probit   = {res}4
{txt}$cmp_oprobit  = {res}5
{txt}$cmp_mprobit  = {res}6
{txt}$cmp_int      = {res}7
{txt}$cmp_trunc    = {res}8{txt}  (deprecated)
$cmp_roprobit = {res}9
{txt}$cmp_frac     = {res}10
{txt}
{com}. eststo m1: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( overhead_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe) [pw=mean_weight], indicators($cmp_cont $cmp_cont) iterate(50) difficult vce(cluster id)
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     4,189
{txt}{hline 13}{c +}{hline 34}   F(12, 4176)     = {res}    11.79
{txt}       Model {c |} {res} 14.3796739        12  1.19830616   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 424.573934     4,176  .101670003   {txt}R-squared       ={res}    0.0328
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0301
{txt}       Total {c |} {res} 438.953608     4,188  .104812227   {txt}Root MSE        =   {res} .31883

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0163975{col 33}{space 2} .0098631{col 44}{space 1}   -1.66{col 53}{space 3}0.096{col 61}{space 4}-.0357345{col 74}{space 3} .0029395
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0064018{col 33}{space 2}  .009873{col 44}{space 1}   -0.65{col 53}{space 3}0.517{col 61}{space 4}-.0257582{col 74}{space 3} .0129546
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0052284{col 33}{space 2} .0098628{col 44}{space 1}    0.53{col 53}{space 3}0.596{col 61}{space 4} -.014108{col 74}{space 3} .0245648
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0236506{col 33}{space 2} .0098626{col 44}{space 1}   -2.40{col 53}{space 3}0.017{col 61}{space 4}-.0429866{col 74}{space 3}-.0043147
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0408144{col 33}{space 2} .0098627{col 44}{space 1}   -4.14{col 53}{space 3}0.000{col 61}{space 4}-.0601505{col 74}{space 3}-.0214783
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0264769{col 33}{space 2}  .009864{col 44}{space 1}    2.68{col 53}{space 3}0.007{col 61}{space 4} .0071382{col 74}{space 3} .0458156
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2708421{col 33}{space 2} .0574313{col 44}{space 1}    4.72{col 53}{space 3}0.000{col 61}{space 4} .1582462{col 74}{space 3}  .383438
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0793634{col 33}{space 2} .0169076{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.1125114{col 74}{space 3}-.0462155
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0742608{col 33}{space 2} .0155717{col 44}{space 1}   -4.77{col 53}{space 3}0.000{col 61}{space 4}-.1047895{col 74}{space 3}-.0437321
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0818681{col 33}{space 2} .0284243{col 44}{space 1}    2.88{col 53}{space 3}0.004{col 61}{space 4} .0261414{col 74}{space 3} .1375948
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1164272{col 33}{space 2} .0217923{col 44}{space 1}   -5.34{col 53}{space 3}0.000{col 61}{space 4}-.1591516{col 74}{space 3}-.0737028
{txt}{space 17}7  {c |}{col 21}{res}{space 2}  -.09236{col 33}{space 2} .0176205{col 44}{space 1}   -5.24{col 53}{space 3}0.000{col 61}{space 4}-.1269055{col 74}{space 3}-.0578144
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2098012{col 33}{space 2}  .017878{col 44}{space 1}   11.74{col 53}{space 3}0.000{col 61}{space 4} .1747507{col 74}{space 3} .2448517
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,913
{txt}{hline 13}{c +}{hline 34}   F(12, 3900)     = {res}    20.38
{txt}       Model {c |} {res} 71117.0391        12  5926.41993   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1133976.17     3,900  290.763121   {txt}R-squared       ={res}    0.0590
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0562
{txt}       Total {c |} {res} 1205093.21     3,912  308.050412   {txt}Root MSE        =   {res} 17.051

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2267401{col 33}{space 2} .5464273{col 44}{space 1}   -0.41{col 53}{space 3}0.678{col 61}{space 4} -1.29805{col 74}{space 3} .8445701
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7643986{col 33}{space 2} .5464574{col 44}{space 1}    1.40{col 53}{space 3}0.162{col 61}{space 4}-.3069708{col 74}{space 3} 1.835768
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2726482{col 33}{space 2} .5465616{col 44}{space 1}   -0.50{col 53}{space 3}0.618{col 61}{space 4}-1.344222{col 74}{space 3} .7989254
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.000048{col 33}{space 2} .5458796{col 44}{space 1}   -0.00{col 53}{space 3}1.000{col 61}{space 4}-1.070284{col 74}{space 3} 1.070188
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .5898736{col 33}{space 2} .5466045{col 44}{space 1}    1.08{col 53}{space 3}0.281{col 61}{space 4}-.4817841{col 74}{space 3} 1.661531
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.7957177{col 33}{space 2} .5463024{col 44}{space 1}   -1.46{col 53}{space 3}0.145{col 61}{space 4}-1.866783{col 74}{space 3} .2753478
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-4.896758{col 33}{space 2} 4.078353{col 44}{space 1}   -1.20{col 53}{space 3}0.230{col 61}{space 4}-12.89267{col 74}{space 3} 3.099149
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  8.80172{col 33}{space 2} .9559296{col 44}{space 1}    9.21{col 53}{space 3}0.000{col 61}{space 4} 6.927551{col 74}{space 3} 10.67589
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.742894{col 33}{space 2} .8814052{col 44}{space 1}   -1.98{col 53}{space 3}0.048{col 61}{space 4}-3.470953{col 74}{space 3}-.0148352
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.083948{col 33}{space 2} 1.696078{col 44}{space 1}   -1.23{col 53}{space 3}0.219{col 61}{space 4}-5.409232{col 74}{space 3} 1.241337
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.811174{col 33}{space 2} 1.181902{col 44}{space 1}   -2.38{col 53}{space 3}0.017{col 61}{space 4}-5.128379{col 74}{space 3}-.4939702
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4360244{col 33}{space 2} .9911796{col 44}{space 1}   -0.44{col 53}{space 3}0.660{col 61}{space 4}-2.379304{col 74}{space 3} 1.507255
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 14.68872{col 33}{space 2} 1.011076{col 44}{space 1}   14.53{col 53}{space 3}0.000{col 61}{space 4} 12.70643{col 74}{space 3} 16.67101
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-17791.306}  
Iteration 1:{space 3}log pseudolikelihood = {res:-17790.017}  
Iteration 2:{space 3}log pseudolikelihood = {res:-17790.013}  
Iteration 3:{space 3}log pseudolikelihood = {res:-17790.013}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}     55.88
{txt}Log pseudolikelihood = {res}-17790.013{txt}{col 49}Prob > chi2{col 67}= {res}    0.0002

{txt}{ralign 85:(Std. Err. adjusted for {res:279} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0164428{col 33}{space 2} .0123536{col 44}{space 1}   -1.33{col 53}{space 3}0.183{col 61}{space 4}-.0406554{col 74}{space 3} .0077698
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.006566{col 33}{space 2} .0122761{col 44}{space 1}   -0.53{col 53}{space 3}0.593{col 61}{space 4}-.0306268{col 74}{space 3} .0174948
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .005064{col 33}{space 2} .0124174{col 44}{space 1}    0.41{col 53}{space 3}0.683{col 61}{space 4}-.0192737{col 74}{space 3} .0294016
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.023681{col 33}{space 2} .0124196{col 44}{space 1}   -1.91{col 53}{space 3}0.057{col 61}{space 4} -.048023{col 74}{space 3}  .000661
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0409493{col 33}{space 2} .0143927{col 44}{space 1}   -2.85{col 53}{space 3}0.004{col 61}{space 4}-.0691584{col 74}{space 3}-.0127401
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0265148{col 33}{space 2} .0106817{col 44}{space 1}    2.48{col 53}{space 3}0.013{col 61}{space 4}  .005579{col 74}{space 3} .0474506
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2709199{col 33}{space 2} .3207776{col 44}{space 1}    0.84{col 53}{space 3}0.398{col 61}{space 4}-.3577926{col 74}{space 3} .8996324
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0792199{col 33}{space 2} .0471012{col 44}{space 1}   -1.68{col 53}{space 3}0.093{col 61}{space 4}-.1715366{col 74}{space 3} .0130968
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0741545{col 33}{space 2} .0455406{col 44}{space 1}   -1.63{col 53}{space 3}0.103{col 61}{space 4}-.1634125{col 74}{space 3} .0151034
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0819314{col 33}{space 2} .1029163{col 44}{space 1}    0.80{col 53}{space 3}0.426{col 61}{space 4} -.119781{col 74}{space 3} .2836437
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1174784{col 33}{space 2}  .051973{col 44}{space 1}   -2.26{col 53}{space 3}0.024{col 61}{space 4}-.2193437{col 74}{space 3}-.0156131
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0923455{col 33}{space 2} .0475434{col 44}{space 1}   -1.94{col 53}{space 3}0.052{col 61}{space 4}-.1855289{col 74}{space 3} .0008378
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2100149{col 33}{space 2} .0430332{col 44}{space 1}    4.88{col 53}{space 3}0.000{col 61}{space 4} .1256714{col 74}{space 3} .2943585
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1659646{col 33}{space 2}  .534318{col 44}{space 1}   -0.31{col 53}{space 3}0.756{col 61}{space 4}-1.213209{col 74}{space 3} .8812795
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .8190268{col 33}{space 2} .6732202{col 44}{space 1}    1.22{col 53}{space 3}0.224{col 61}{space 4}-.5004606{col 74}{space 3} 2.138514
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2803528{col 33}{space 2}  .506986{col 44}{space 1}   -0.55{col 53}{space 3}0.580{col 61}{space 4}-1.274027{col 74}{space 3} .7133216
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .1337384{col 33}{space 2} .6377076{col 44}{space 1}    0.21{col 53}{space 3}0.834{col 61}{space 4}-1.116145{col 74}{space 3} 1.383622
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .7091912{col 33}{space 2}  .500639{col 44}{space 1}    1.42{col 53}{space 3}0.157{col 61}{space 4}-.2720432{col 74}{space 3} 1.690426
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.8924672{col 33}{space 2} .6951869{col 44}{space 1}   -1.28{col 53}{space 3}0.199{col 61}{space 4}-2.255008{col 74}{space 3} .4700741
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-6.414046{col 33}{space 2}   3.3595{col 44}{space 1}   -1.91{col 53}{space 3}0.056{col 61}{space 4}-12.99855{col 74}{space 3} .1704532
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.075995{col 33}{space 2}  3.80839{col 44}{space 1}    2.38{col 53}{space 3}0.017{col 61}{space 4} 1.611687{col 74}{space 3}  16.5403
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.513167{col 33}{space 2} 2.924689{col 44}{space 1}   -0.52{col 53}{space 3}0.605{col 61}{space 4}-7.245451{col 74}{space 3} 4.219117
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.444411{col 33}{space 2} 3.458862{col 44}{space 1}   -0.71{col 53}{space 3}0.480{col 61}{space 4}-9.223656{col 74}{space 3} 4.334834
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.465659{col 33}{space 2} 2.939491{col 44}{space 1}   -0.84{col 53}{space 3}0.402{col 61}{space 4}-8.226955{col 74}{space 3} 3.295637
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.1060999{col 33}{space 2} 3.258855{col 44}{space 1}   -0.03{col 53}{space 3}0.974{col 61}{space 4}-6.493338{col 74}{space 3} 6.281138
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 13.97982{col 33}{space 2} 2.766459{col 44}{space 1}    5.05{col 53}{space 3}0.000{col 61}{space 4} 8.557656{col 74}{space 3} 19.40198
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2}-1.144681{col 33}{space 2}  .048416{col 44}{space 1}  -23.64{col 53}{space 3}0.000{col 61}{space 4}-1.239575{col 74}{space 3}-1.049788
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2}  2.83696{col 33}{space 2}  .094097{col 44}{space 1}   30.15{col 53}{space 3}0.000{col 61}{space 4} 2.652533{col 74}{space 3} 3.021387
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.0866694{col 33}{space 2} .0537834{col 44}{space 1}   -1.61{col 53}{space 3}0.107{col 61}{space 4}-.1920829{col 74}{space 3} .0187442
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .3183253{col 33}{space 2} .0154121{col 61}{space 4} .2895072{col 74}{space 3}  .350012
{txt}              sig_2 {c |}{col 21}{res}{space 2} 17.06381{col 33}{space 2} 1.605654{col 61}{space 4} 14.18994{col 74}{space 3} 20.51972
{txt}             rho_12 {c |}{col 21}{res}{space 2} -.086453{col 33}{space 2} .0533814{col 61}{space 4}-.1897549{col 74}{space 3}  .018742
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5005597 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4994403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5020579 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4979421 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4987687 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5012313 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4959691 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5040309 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4941931 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5058069 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5033129 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4966871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1389827 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0076173 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2101229 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 5}.34703 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0374967 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0863214 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1724291 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  .126497{col 33}{space 2} .0145709{col 44}{space 1}    8.68{col 53}{space 3}0.000{col 61}{space 4} .0979386{col 74}{space 3} .1550553
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1100542{col 33}{space 2} .0143531{col 44}{space 1}    7.67{col 53}{space 3}0.000{col 61}{space 4} .0819226{col 74}{space 3} .1381857
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1215542{col 33}{space 2} .0144781{col 44}{space 1}    8.40{col 53}{space 3}0.000{col 61}{space 4} .0931776{col 74}{space 3} .1499309
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1149883{col 33}{space 2} .0144135{col 44}{space 1}    7.98{col 53}{space 3}0.000{col 61}{space 4} .0867383{col 74}{space 3} .1432382
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1157465{col 33}{space 2} .0149617{col 44}{space 1}    7.74{col 53}{space 3}0.000{col 61}{space 4} .0864222{col 74}{space 3} .1450709
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1208105{col 33}{space 2} .0139763{col 44}{space 1}    8.64{col 53}{space 3}0.000{col 61}{space 4} .0934175{col 74}{space 3} .1482035
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1302207{col 33}{space 2} .0151895{col 44}{space 1}    8.57{col 53}{space 3}0.000{col 61}{space 4} .1004498{col 74}{space 3} .1599916
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1065397{col 33}{space 2}  .013739{col 44}{space 1}    7.75{col 53}{space 3}0.000{col 61}{space 4} .0796118{col 74}{space 3} .1334676
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1389972{col 33}{space 2} .0162058{col 44}{space 1}    8.58{col 53}{space 3}0.000{col 61}{space 4} .1072344{col 74}{space 3} .1707599
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0980479{col 33}{space 2} .0135599{col 44}{space 1}    7.23{col 53}{space 3}0.000{col 61}{space 4}  .071471{col 74}{space 3} .1246249
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1051152{col 33}{space 2} .0131611{col 44}{space 1}    7.99{col 53}{space 3}0.000{col 61}{space 4} .0793199{col 74}{space 3} .1309105
{txt}Private foundation  {c |}{col 21}{res}{space 2}   .13163{col 33}{space 2} .0150402{col 44}{space 1}    8.75{col 53}{space 3}0.000{col 61}{space 4} .1021518{col 74}{space 3} .1611082
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .1815927{col 33}{space 2} .0393107{col 44}{space 1}    4.62{col 53}{space 3}0.000{col 61}{space 4} .1045452{col 74}{space 3} .2586401
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .4525125{col 33}{space 2} .3183799{col 44}{space 1}    1.42{col 53}{space 3}0.155{col 61}{space 4}-.1715006{col 74}{space 3} 1.076526
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1023728{col 33}{space 2} .0258702{col 44}{space 1}    3.96{col 53}{space 3}0.000{col 61}{space 4} .0516682{col 74}{space 3} .1530773
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1074381{col 33}{space 2} .0229735{col 44}{space 1}    4.68{col 53}{space 3}0.000{col 61}{space 4} .0624108{col 74}{space 3} .1524654
{txt}{space 17}5  {c |}{col 21}{res}{space 2}  .263524{col 33}{space 2} .0950898{col 44}{space 1}    2.77{col 53}{space 3}0.006{col 61}{space 4} .0771514{col 74}{space 3} .4498966
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0641143{col 33}{space 2} .0339167{col 44}{space 1}    1.89{col 53}{space 3}0.059{col 61}{space 4}-.0023612{col 74}{space 3} .1305897
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0892471{col 33}{space 2} .0267612{col 44}{space 1}    3.33{col 53}{space 3}0.001{col 61}{space 4} .0367962{col 74}{space 3} .1416981
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead1
{txt}
{com}. 
. eststo m2: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( overhead_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe) [pw=mean_weight] , indicators($cmp_probit $cmp_cont) iterate(50) difficult vce(cluster id)
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-1528.1723}  
Iteration 1:{space 3}log likelihood = {res:-1468.9755}  
Iteration 2:{space 3}log likelihood = {res:-1468.4152}  
Iteration 3:{space 3}log likelihood = {res:-1468.4151}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     3,777
{txt}{col 49}LR chi2({res}12{txt}){col 67}= {res}    119.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1468.4151{txt}{col 49}Pseudo R2{col 67}= {res}    0.0391

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0828743{col 33}{space 2} .0514508{col 44}{space 1}   -1.61{col 53}{space 3}0.107{col 61}{space 4}-.1837161{col 74}{space 3} .0179675
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0313062{col 33}{space 2} .0514762{col 44}{space 1}   -0.61{col 53}{space 3}0.543{col 61}{space 4}-.1321977{col 74}{space 3} .0695852
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0242408{col 33}{space 2} .0513947{col 44}{space 1}    0.47{col 53}{space 3}0.637{col 61}{space 4}-.0764908{col 74}{space 3} .1249725
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1285745{col 33}{space 2} .0514968{col 44}{space 1}   -2.50{col 53}{space 3}0.013{col 61}{space 4}-.2295064{col 74}{space 3}-.0276427
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2120619{col 33}{space 2} .0516251{col 44}{space 1}   -4.11{col 53}{space 3}0.000{col 61}{space 4}-.3132452{col 74}{space 3}-.1108785
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  .131577{col 33}{space 2} .0515032{col 44}{space 1}    2.55{col 53}{space 3}0.011{col 61}{space 4} .0306326{col 74}{space 3} .2325215
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .8260812{col 33}{space 2} .2285899{col 44}{space 1}    3.61{col 53}{space 3}0.000{col 61}{space 4} .3780531{col 74}{space 3} 1.274109
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3594048{col 33}{space 2}  .082895{col 44}{space 1}   -4.34{col 53}{space 3}0.000{col 61}{space 4} -.521876{col 74}{space 3}-.1969336
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.336007{col 33}{space 2}  .074964{col 44}{space 1}   -4.48{col 53}{space 3}0.000{col 61}{space 4}-.4829337{col 74}{space 3}-.1890802
{txt}{space 17}5  {c |}{col 21}{res}{space 2}  .280673{col 33}{space 2} .1241039{col 44}{space 1}    2.26{col 53}{space 3}0.024{col 61}{space 4} .0374338{col 74}{space 3} .5239122
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.6165448{col 33}{space 2}  .123084{col 44}{space 1}   -5.01{col 53}{space 3}0.000{col 61}{space 4} -.857785{col 74}{space 3}-.3753045
{txt}{space 17}7  {c |}{col 21}{res}{space 2} -.441835{col 33}{space 2} .0893094{col 44}{space 1}   -4.95{col 53}{space 3}0.000{col 61}{space 4}-.6168782{col 74}{space 3}-.2667918
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7670461{col 33}{space 2} .0872507{col 44}{space 1}   -8.79{col 53}{space 3}0.000{col 61}{space 4}-.9380543{col 74}{space 3}-.5960379
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,913
{txt}{hline 13}{c +}{hline 34}   F(12, 3900)     = {res}    20.38
{txt}       Model {c |} {res} 71117.0391        12  5926.41993   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1133976.17     3,900  290.763121   {txt}R-squared       ={res}    0.0590
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0562
{txt}       Total {c |} {res} 1205093.21     3,912  308.050412   {txt}Root MSE        =   {res} 17.051

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2267401{col 33}{space 2} .5464273{col 44}{space 1}   -0.41{col 53}{space 3}0.678{col 61}{space 4} -1.29805{col 74}{space 3} .8445701
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7643986{col 33}{space 2} .5464574{col 44}{space 1}    1.40{col 53}{space 3}0.162{col 61}{space 4}-.3069708{col 74}{space 3} 1.835768
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2726482{col 33}{space 2} .5465616{col 44}{space 1}   -0.50{col 53}{space 3}0.618{col 61}{space 4}-1.344222{col 74}{space 3} .7989254
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.000048{col 33}{space 2} .5458796{col 44}{space 1}   -0.00{col 53}{space 3}1.000{col 61}{space 4}-1.070284{col 74}{space 3} 1.070188
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .5898736{col 33}{space 2} .5466045{col 44}{space 1}    1.08{col 53}{space 3}0.281{col 61}{space 4}-.4817841{col 74}{space 3} 1.661531
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.7957177{col 33}{space 2} .5463024{col 44}{space 1}   -1.46{col 53}{space 3}0.145{col 61}{space 4}-1.866783{col 74}{space 3} .2753478
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-4.896758{col 33}{space 2} 4.078353{col 44}{space 1}   -1.20{col 53}{space 3}0.230{col 61}{space 4}-12.89267{col 74}{space 3} 3.099149
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  8.80172{col 33}{space 2} .9559296{col 44}{space 1}    9.21{col 53}{space 3}0.000{col 61}{space 4} 6.927551{col 74}{space 3} 10.67589
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.742894{col 33}{space 2} .8814052{col 44}{space 1}   -1.98{col 53}{space 3}0.048{col 61}{space 4}-3.470953{col 74}{space 3}-.0148352
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.083948{col 33}{space 2} 1.696078{col 44}{space 1}   -1.23{col 53}{space 3}0.219{col 61}{space 4}-5.409232{col 74}{space 3} 1.241337
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.811174{col 33}{space 2} 1.181902{col 44}{space 1}   -2.38{col 53}{space 3}0.017{col 61}{space 4}-5.128379{col 74}{space 3}-.4939702
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4360244{col 33}{space 2} .9911796{col 44}{space 1}   -0.44{col 53}{space 3}0.660{col 61}{space 4}-2.379304{col 74}{space 3} 1.507255
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 14.68872{col 33}{space 2} 1.011076{col 44}{space 1}   14.53{col 53}{space 3}0.000{col 61}{space 4} 12.70643{col 74}{space 3} 16.67101
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-18111.471}  
Iteration 1:{space 3}log pseudolikelihood = {res:-18097.528}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-18088.124}  
Iteration 3:{space 3}log pseudolikelihood = {res:-18064.847}  
Iteration 4:{space 3}log pseudolikelihood = {res:-18064.653}  
Iteration 5:{space 3}log pseudolikelihood = {res:-18064.653}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}     55.89
{txt}Log pseudolikelihood = {res}-18064.653{txt}{col 49}Prob > chi2{col 67}= {res}    0.0002

{txt}{ralign 85:(Std. Err. adjusted for {res:279} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0725478{col 33}{space 2}  .059319{col 44}{space 1}   -1.22{col 53}{space 3}0.221{col 61}{space 4}-.1888109{col 74}{space 3} .0437153
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0092986{col 33}{space 2} .0563402{col 44}{space 1}   -0.17{col 53}{space 3}0.869{col 61}{space 4}-.1197234{col 74}{space 3} .1011261
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0114002{col 33}{space 2} .0545066{col 44}{space 1}    0.21{col 53}{space 3}0.834{col 61}{space 4}-.0954308{col 74}{space 3} .1182312
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0831244{col 33}{space 2} .0525581{col 44}{space 1}   -1.58{col 53}{space 3}0.114{col 61}{space 4}-.1861364{col 74}{space 3} .0198877
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.1903531{col 33}{space 2} .0629879{col 44}{space 1}   -3.02{col 53}{space 3}0.003{col 61}{space 4}-.3138071{col 74}{space 3}-.0668992
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1139568{col 33}{space 2} .0448463{col 44}{space 1}    2.54{col 53}{space 3}0.011{col 61}{space 4} .0260597{col 74}{space 3} .2018539
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .7938678{col 33}{space 2} .7364759{col 44}{space 1}    1.08{col 53}{space 3}0.281{col 61}{space 4}-.6495985{col 74}{space 3} 2.237334
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.4268537{col 33}{space 2} .2058443{col 44}{space 1}   -2.07{col 53}{space 3}0.038{col 61}{space 4}-.8303012{col 74}{space 3}-.0234063
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.2043584{col 33}{space 2} .1763252{col 44}{space 1}   -1.16{col 53}{space 3}0.246{col 61}{space 4}-.5499495{col 74}{space 3} .1412327
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2748656{col 33}{space 2} .2808244{col 44}{space 1}    0.98{col 53}{space 3}0.328{col 61}{space 4}-.2755401{col 74}{space 3} .8252713
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4087806{col 33}{space 2} .2647538{col 44}{space 1}   -1.54{col 53}{space 3}0.123{col 61}{space 4}-.9276884{col 74}{space 3} .1101273
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.3388011{col 33}{space 2} .2107076{col 44}{space 1}   -1.61{col 53}{space 3}0.108{col 61}{space 4}-.7517803{col 74}{space 3} .0741782
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7000561{col 33}{space 2} .1615621{col 44}{space 1}   -4.33{col 53}{space 3}0.000{col 61}{space 4}-1.016712{col 74}{space 3}-.3834002
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0215732{col 33}{space 2} .5527584{col 44}{space 1}    0.04{col 53}{space 3}0.969{col 61}{space 4}-1.061813{col 74}{space 3}  1.10496
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.053543{col 33}{space 2}  .689158{col 44}{space 1}    1.53{col 53}{space 3}0.126{col 61}{space 4}-.2971823{col 74}{space 3} 2.404267
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.3090885{col 33}{space 2} .5373771{col 44}{space 1}   -0.58{col 53}{space 3}0.565{col 61}{space 4}-1.362328{col 74}{space 3} .7441513
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .6527898{col 33}{space 2} .6958425{col 44}{space 1}    0.94{col 53}{space 3}0.348{col 61}{space 4}-.7110364{col 74}{space 3} 2.016616
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.072542{col 33}{space 2} .5517303{col 44}{space 1}    1.94{col 53}{space 3}0.052{col 61}{space 4}-.0088298{col 74}{space 3} 2.153913
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-1.198654{col 33}{space 2} .7397857{col 44}{space 1}   -1.62{col 53}{space 3}0.105{col 61}{space 4}-2.648607{col 74}{space 3} .2512995
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-11.12889{col 33}{space 2} 7.254804{col 44}{space 1}   -1.53{col 53}{space 3}0.125{col 61}{space 4}-25.34805{col 74}{space 3} 3.090263
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  9.88493{col 33}{space 2} 3.782314{col 44}{space 1}    2.61{col 53}{space 3}0.009{col 61}{space 4} 2.471731{col 74}{space 3} 17.29813
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.702643{col 33}{space 2} 2.866951{col 44}{space 1}   -0.25{col 53}{space 3}0.806{col 61}{space 4}-6.321764{col 74}{space 3} 4.916477
{txt}{space 17}5  {c |}{col 21}{res}{space 2} -3.49604{col 33}{space 2} 3.732989{col 44}{space 1}   -0.94{col 53}{space 3}0.349{col 61}{space 4}-10.81256{col 74}{space 3} 3.820483
{txt}{space 17}6  {c |}{col 21}{res}{space 2} -1.25598{col 33}{space 2} 2.964702{col 44}{space 1}   -0.42{col 53}{space 3}0.672{col 61}{space 4}-7.066688{col 74}{space 3} 4.554728
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 1.031061{col 33}{space 2}  3.22254{col 44}{space 1}    0.32{col 53}{space 3}0.749{col 61}{space 4}-5.285002{col 74}{space 3} 7.347124
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 11.35464{col 33}{space 2} 2.636646{col 44}{space 1}    4.31{col 53}{space 3}0.000{col 61}{space 4} 6.186904{col 74}{space 3} 16.52237
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2} 2.878307{col 33}{space 2} .0961629{col 44}{space 1}   29.93{col 53}{space 3}0.000{col 61}{space 4} 2.689831{col 74}{space 3} 3.066782
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.9381883{col 33}{space 2} .3010722{col 44}{space 1}   -3.12{col 53}{space 3}0.002{col 61}{space 4}-1.528279{col 74}{space 3}-.3480976
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 17.78413{col 33}{space 2} 1.710174{col 61}{space 4} 14.72918{col 74}{space 3}  21.4727
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.7343887{col 33}{space 2} .1386959{col 61}{space 4}-.9101296{col 74}{space 3}-.3346873
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5005597 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4994403 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5020579 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4979421 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4987687 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5012313 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4959691 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5040309 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4941931 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5058069 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5033129 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4966871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1389827 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0076173 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2101229 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 5}.34703 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0374967 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0863214 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1724291 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  13.6872{col 33}{space 2} .9213124{col 44}{space 1}   14.86{col 53}{space 3}0.000{col 61}{space 4} 11.88146{col 74}{space 3} 15.49294
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 13.70877{col 33}{space 2} .8579548{col 44}{space 1}   15.98{col 53}{space 3}0.000{col 61}{space 4} 12.02721{col 74}{space 3} 15.39033
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.17337{col 33}{space 2} .8831514{col 44}{space 1}   14.92{col 53}{space 3}0.000{col 61}{space 4} 11.44243{col 74}{space 3} 14.90432
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.22691{col 33}{space 2} .9435152{col 44}{space 1}   15.08{col 53}{space 3}0.000{col 61}{space 4} 12.37766{col 74}{space 3} 16.07617
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  13.8529{col 33}{space 2} .9180606{col 44}{space 1}   15.09{col 53}{space 3}0.000{col 61}{space 4} 12.05353{col 74}{space 3} 15.65227
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 13.54381{col 33}{space 2}  .856783{col 44}{space 1}   15.81{col 53}{space 3}0.000{col 61}{space 4} 11.86455{col 74}{space 3} 15.22308
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.36895{col 33}{space 2} .9215474{col 44}{space 1}   14.51{col 53}{space 3}0.000{col 61}{space 4} 11.56275{col 74}{space 3} 15.17515
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.02174{col 33}{space 2} .9084518{col 44}{space 1}   15.43{col 53}{space 3}0.000{col 61}{space 4} 12.24121{col 74}{space 3} 15.80227
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 13.15548{col 33}{space 2}  .880857{col 44}{space 1}   14.93{col 53}{space 3}0.000{col 61}{space 4} 11.42903{col 74}{space 3} 14.88192
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 14.22802{col 33}{space 2} .8989758{col 44}{space 1}   15.83{col 53}{space 3}0.000{col 61}{space 4} 12.46606{col 74}{space 3} 15.98998
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 14.29333{col 33}{space 2} .8886048{col 44}{space 1}   16.09{col 53}{space 3}0.000{col 61}{space 4}  12.5517{col 74}{space 3} 16.03496
{txt}Private foundation  {c |}{col 21}{res}{space 2} 13.09468{col 33}{space 2} .9576607{col 44}{space 1}   13.67{col 53}{space 3}0.000{col 61}{space 4}  11.2177{col 74}{space 3} 14.97166
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 12.01126{col 33}{space 2} 2.477149{col 44}{space 1}    4.85{col 53}{space 3}0.000{col 61}{space 4} 7.156136{col 74}{space 3} 16.86638
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .8823664{col 33}{space 2} 6.735264{col 44}{space 1}    0.13{col 53}{space 3}0.896{col 61}{space 4}-12.31851{col 74}{space 3} 14.08324
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 21.89619{col 33}{space 2} 2.753617{col 44}{space 1}    7.95{col 53}{space 3}0.000{col 61}{space 4}  16.4992{col 74}{space 3} 27.29318
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 11.30861{col 33}{space 2} 1.304425{col 44}{space 1}    8.67{col 53}{space 3}0.000{col 61}{space 4} 8.751988{col 74}{space 3} 13.86524
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 8.515218{col 33}{space 2} 2.727219{col 44}{space 1}    3.12{col 53}{space 3}0.002{col 61}{space 4} 3.169967{col 74}{space 3} 13.86047
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 10.75528{col 33}{space 2} 1.626305{col 44}{space 1}    6.61{col 53}{space 3}0.000{col 61}{space 4} 7.567779{col 74}{space 3} 13.94278
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 13.04232{col 33}{space 2} 1.940272{col 44}{space 1}    6.72{col 53}{space 3}0.000{col 61}{space 4} 9.239456{col 74}{space 3} 16.84518
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead2
{txt}
{com}. 
. *amount
. eststo m3: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( amount_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe)  [pw=mean_weight], indicators($cmp_cont $cmp_cont) iterate(50) difficult vce(cluster id)
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     4,189
{txt}{hline 13}{c +}{hline 34}   F(12, 4176)     = {res}    11.79
{txt}       Model {c |} {res} 14.3796739        12  1.19830616   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 424.573934     4,176  .101670003   {txt}R-squared       ={res}    0.0328
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0301
{txt}       Total {c |} {res} 438.953608     4,188  .104812227   {txt}Root MSE        =   {res} .31883

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0163975{col 33}{space 2} .0098631{col 44}{space 1}   -1.66{col 53}{space 3}0.096{col 61}{space 4}-.0357345{col 74}{space 3} .0029395
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0064018{col 33}{space 2}  .009873{col 44}{space 1}   -0.65{col 53}{space 3}0.517{col 61}{space 4}-.0257582{col 74}{space 3} .0129546
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0052284{col 33}{space 2} .0098628{col 44}{space 1}    0.53{col 53}{space 3}0.596{col 61}{space 4} -.014108{col 74}{space 3} .0245648
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0236506{col 33}{space 2} .0098626{col 44}{space 1}   -2.40{col 53}{space 3}0.017{col 61}{space 4}-.0429866{col 74}{space 3}-.0043147
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0408144{col 33}{space 2} .0098627{col 44}{space 1}   -4.14{col 53}{space 3}0.000{col 61}{space 4}-.0601505{col 74}{space 3}-.0214783
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0264769{col 33}{space 2}  .009864{col 44}{space 1}    2.68{col 53}{space 3}0.007{col 61}{space 4} .0071382{col 74}{space 3} .0458156
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2708421{col 33}{space 2} .0574313{col 44}{space 1}    4.72{col 53}{space 3}0.000{col 61}{space 4} .1582462{col 74}{space 3}  .383438
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0793634{col 33}{space 2} .0169076{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.1125114{col 74}{space 3}-.0462155
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0742608{col 33}{space 2} .0155717{col 44}{space 1}   -4.77{col 53}{space 3}0.000{col 61}{space 4}-.1047895{col 74}{space 3}-.0437321
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0818681{col 33}{space 2} .0284243{col 44}{space 1}    2.88{col 53}{space 3}0.004{col 61}{space 4} .0261414{col 74}{space 3} .1375948
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1164272{col 33}{space 2} .0217923{col 44}{space 1}   -5.34{col 53}{space 3}0.000{col 61}{space 4}-.1591516{col 74}{space 3}-.0737028
{txt}{space 17}7  {c |}{col 21}{res}{space 2}  -.09236{col 33}{space 2} .0176205{col 44}{space 1}   -5.24{col 53}{space 3}0.000{col 61}{space 4}-.1269055{col 74}{space 3}-.0578144
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2098012{col 33}{space 2}  .017878{col 44}{space 1}   11.74{col 53}{space 3}0.000{col 61}{space 4} .1747507{col 74}{space 3} .2448517
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,796
{txt}{hline 13}{c +}{hline 34}   F(12, 3783)     = {res}     4.99
{txt}       Model {c |} {res} 76943.9799        12  6411.99833   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4863789.27     3,783  1285.69634   {txt}R-squared       ={res}    0.0156
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0125
{txt}       Total {c |} {res} 4940733.25     3,795  1301.90599   {txt}Root MSE        =   {res} 35.856

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .194804{col 33}{space 2} 1.165629{col 44}{space 1}    0.17{col 53}{space 3}0.867{col 61}{space 4}-2.090517{col 74}{space 3} 2.480125
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.446806{col 33}{space 2} 1.166977{col 44}{space 1}    1.24{col 53}{space 3}0.215{col 61}{space 4} -.841158{col 74}{space 3}  3.73477
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2467828{col 33}{space 2} 1.166834{col 44}{space 1}   -0.21{col 53}{space 3}0.833{col 61}{space 4}-2.534467{col 74}{space 3} 2.040901
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0542528{col 33}{space 2} 1.165622{col 44}{space 1}    0.05{col 53}{space 3}0.963{col 61}{space 4}-2.231056{col 74}{space 3} 2.339562
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.445705{col 33}{space 2} 1.167223{col 44}{space 1}    1.24{col 53}{space 3}0.216{col 61}{space 4}-.8427418{col 74}{space 3} 3.734152
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.307016{col 33}{space 2}  1.16586{col 44}{space 1}    1.98{col 53}{space 3}0.048{col 61}{space 4} .0212405{col 74}{space 3} 4.592791
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.770979{col 33}{space 2}  7.41564{col 44}{space 1}   -0.37{col 53}{space 3}0.709{col 61}{space 4}-17.31002{col 74}{space 3} 11.76806
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.292731{col 33}{space 2} 2.023274{col 44}{space 1}    4.59{col 53}{space 3}0.000{col 61}{space 4} 5.325917{col 74}{space 3} 13.25955
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3641825{col 33}{space 2} 1.874246{col 44}{space 1}   -0.19{col 53}{space 3}0.846{col 61}{space 4}-4.038812{col 74}{space 3} 3.310447
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.848512{col 33}{space 2}  3.51625{col 44}{space 1}   -0.81{col 53}{space 3}0.418{col 61}{space 4}-9.742441{col 74}{space 3} 4.045417
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.582135{col 33}{space 2} 2.573479{col 44}{space 1}   -1.39{col 53}{space 3}0.164{col 61}{space 4}-8.627675{col 74}{space 3} 1.463405
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.717985{col 33}{space 2}  2.09816{col 44}{space 1}    1.77{col 53}{space 3}0.076{col 61}{space 4}-.3956492{col 74}{space 3} 7.831619
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.235504{col 33}{space 2} 2.136792{col 44}{space 1}    1.51{col 53}{space 3}0.130{col 61}{space 4}-.9538725{col 74}{space 3} 7.424881
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}amount_clean{res} equation appears ill-conditioned. (Condition number = 20.774531.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-20116.041}  
Iteration 1:{space 3}log pseudolikelihood = {res:-20111.955}  
Iteration 2:{space 3}log pseudolikelihood = {res:-20111.132}  
Iteration 3:{space 3}log pseudolikelihood = {res:-20111.128}  
Iteration 4:{space 3}log pseudolikelihood = {res:-20111.128}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}     54.04
{txt}Log pseudolikelihood = {res}-20111.128{txt}{col 49}Prob > chi2{col 67}= {res}    0.0004

{txt}{ralign 85:(Std. Err. adjusted for {res:276} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0172255{col 33}{space 2} .0124845{col 44}{space 1}   -1.38{col 53}{space 3}0.168{col 61}{space 4}-.0416946{col 74}{space 3} .0072435
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0065504{col 33}{space 2} .0122815{col 44}{space 1}   -0.53{col 53}{space 3}0.594{col 61}{space 4}-.0306218{col 74}{space 3} .0175209
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0045482{col 33}{space 2} .0125672{col 44}{space 1}    0.36{col 53}{space 3}0.717{col 61}{space 4}-.0200831{col 74}{space 3} .0291795
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0246126{col 33}{space 2} .0127267{col 44}{space 1}   -1.93{col 53}{space 3}0.053{col 61}{space 4}-.0495564{col 74}{space 3} .0003313
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0413877{col 33}{space 2} .0145066{col 44}{space 1}   -2.85{col 53}{space 3}0.004{col 61}{space 4}-.0698201{col 74}{space 3}-.0129554
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0264875{col 33}{space 2} .0106693{col 44}{space 1}    2.48{col 53}{space 3}0.013{col 61}{space 4} .0055761{col 74}{space 3} .0473989
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2698526{col 33}{space 2} .3178561{col 44}{space 1}    0.85{col 53}{space 3}0.396{col 61}{space 4}-.3531339{col 74}{space 3} .8928391
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0784402{col 33}{space 2} .0475107{col 44}{space 1}   -1.65{col 53}{space 3}0.099{col 61}{space 4}-.1715595{col 74}{space 3} .0146791
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0743963{col 33}{space 2} .0455163{col 44}{space 1}   -1.63{col 53}{space 3}0.102{col 61}{space 4}-.1636065{col 74}{space 3}  .014814
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0810084{col 33}{space 2} .1023524{col 44}{space 1}    0.79{col 53}{space 3}0.429{col 61}{space 4}-.1195987{col 74}{space 3} .2816154
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1166097{col 33}{space 2} .0518123{col 44}{space 1}   -2.25{col 53}{space 3}0.024{col 61}{space 4}  -.21816{col 74}{space 3}-.0150594
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0896682{col 33}{space 2} .0482701{col 44}{space 1}   -1.86{col 53}{space 3}0.063{col 61}{space 4}-.1842758{col 74}{space 3} .0049394
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2115074{col 33}{space 2} .0431112{col 44}{space 1}    4.91{col 53}{space 3}0.000{col 61}{space 4}  .127011{col 74}{space 3} .2960038
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}amount_clean        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0816845{col 33}{space 2} 1.989901{col 44}{space 1}    0.04{col 53}{space 3}0.967{col 61}{space 4} -3.81845{col 74}{space 3} 3.981819
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.251219{col 33}{space 2} 1.577597{col 44}{space 1}    0.79{col 53}{space 3}0.428{col 61}{space 4}-1.840815{col 74}{space 3} 4.343253
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2563091{col 33}{space 2} 1.420243{col 44}{space 1}   -0.18{col 53}{space 3}0.857{col 61}{space 4}-3.039935{col 74}{space 3} 2.527316
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.3863247{col 33}{space 2} 2.071229{col 44}{space 1}   -0.19{col 53}{space 3}0.852{col 61}{space 4}-4.445859{col 74}{space 3}  3.67321
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .4071852{col 33}{space 2} 2.149635{col 44}{space 1}    0.19{col 53}{space 3}0.850{col 61}{space 4}-3.806023{col 74}{space 3} 4.620393
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.941648{col 33}{space 2} 1.495024{col 44}{space 1}    1.97{col 53}{space 3}0.049{col 61}{space 4} .0114547{col 74}{space 3} 5.871841
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} 2.000635{col 33}{space 2} 9.823567{col 44}{space 1}    0.20{col 53}{space 3}0.839{col 61}{space 4} -17.2532{col 74}{space 3} 21.25447
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 7.497451{col 33}{space 2} 6.344516{col 44}{space 1}    1.18{col 53}{space 3}0.237{col 61}{space 4}-4.937572{col 74}{space 3} 19.93247
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.734363{col 33}{space 2} 3.238502{col 44}{space 1}   -0.54{col 53}{space 3}0.592{col 61}{space 4}-8.081709{col 74}{space 3} 4.612984
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-1.287757{col 33}{space 2} 3.445336{col 44}{space 1}   -0.37{col 53}{space 3}0.709{col 61}{space 4}-8.040492{col 74}{space 3} 5.464978
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-5.826748{col 33}{space 2} 4.075957{col 44}{space 1}   -1.43{col 53}{space 3}0.153{col 61}{space 4}-13.81548{col 74}{space 3} 2.161981
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 1.943527{col 33}{space 2} 5.195409{col 44}{space 1}    0.37{col 53}{space 3}0.708{col 61}{space 4}-8.239288{col 74}{space 3} 12.12634
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 7.754334{col 33}{space 2} 9.185766{col 44}{space 1}    0.84{col 53}{space 3}0.399{col 61}{space 4}-10.24944{col 74}{space 3}  25.7581
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2} -1.14272{col 33}{space 2} .0494126{col 44}{space 1}  -23.13{col 53}{space 3}0.000{col 61}{space 4}-1.239567{col 74}{space 3}-1.045873
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} 3.600305{col 33}{space 2} .2159128{col 44}{space 1}   16.67{col 53}{space 3}0.000{col 61}{space 4} 3.177123{col 74}{space 3} 4.023486
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2} .2316839{col 33}{space 2} .3815397{col 44}{space 1}    0.61{col 53}{space 3}0.544{col 61}{space 4}-.5161201{col 74}{space 3} .9794879
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .3189503{col 33}{space 2} .0157602{col 61}{space 4} .2895095{col 74}{space 3} .3513849
{txt}              sig_2 {c |}{col 21}{res}{space 2} 36.60938{col 33}{space 2} 7.904433{col 61}{space 4} 23.97768{col 74}{space 3} 55.89561
{txt}             rho_12 {c |}{col 21}{res}{space 2} .2276256{col 33}{space 2} .3617708{col 61}{space 4}-.4746999{col 74}{space 3} .7528441
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5019084 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4980916 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5022406 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4977594 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4994139 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5005861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4941789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5058211 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4955623 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5044377 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5029965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4970035 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1419698 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0091841 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2122124 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3413271 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0395392 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0794245 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 4}.176343 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1289289{col 33}{space 2} .0149739{col 44}{space 1}    8.61{col 53}{space 3}0.000{col 61}{space 4} .0995806{col 74}{space 3} .1582771
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1117033{col 33}{space 2} .0145404{col 44}{space 1}    7.68{col 53}{space 3}0.000{col 61}{space 4} .0832047{col 74}{space 3}  .140202
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1236095{col 33}{space 2} .0148234{col 44}{space 1}    8.34{col 53}{space 3}0.000{col 61}{space 4} .0945563{col 74}{space 3} .1526628
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1170591{col 33}{space 2} .0146087{col 44}{space 1}    8.01{col 53}{space 3}0.000{col 61}{space 4} .0884265{col 74}{space 3} .1456916
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1180722{col 33}{space 2} .0153245{col 44}{space 1}    7.70{col 53}{space 3}0.000{col 61}{space 4} .0880368{col 74}{space 3} .1481076
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1226204{col 33}{space 2}   .01421{col 44}{space 1}    8.63{col 53}{space 3}0.000{col 61}{space 4} .0947692{col 74}{space 3} .1504716
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1327985{col 33}{space 2} .0156989{col 44}{space 1}    8.46{col 53}{space 3}0.000{col 61}{space 4} .1020292{col 74}{space 3} .1635679
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  .108186{col 33}{space 2} .0138888{col 44}{space 1}    7.79{col 53}{space 3}0.000{col 61}{space 4} .0809644{col 74}{space 3} .1354075
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1412265{col 33}{space 2} .0165387{col 44}{space 1}    8.54{col 53}{space 3}0.000{col 61}{space 4} .1088113{col 74}{space 3} .1736417
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0998388{col 33}{space 2} .0137907{col 44}{space 1}    7.24{col 53}{space 3}0.000{col 61}{space 4} .0728095{col 74}{space 3}  .126868
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1071846{col 33}{space 2} .0134479{col 44}{space 1}    7.97{col 53}{space 3}0.000{col 61}{space 4} .0808271{col 74}{space 3}  .133542
{txt}Private foundation  {c |}{col 21}{res}{space 2} .1336721{col 33}{space 2} .0153018{col 44}{space 1}    8.74{col 53}{space 3}0.000{col 61}{space 4} .1036811{col 74}{space 3} .1636631
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .1817811{col 33}{space 2} .0392948{col 44}{space 1}    4.63{col 53}{space 3}0.000{col 61}{space 4} .1047646{col 74}{space 3} .2587975
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .4516337{col 33}{space 2} .3154976{col 44}{space 1}    1.43{col 53}{space 3}0.152{col 61}{space 4}-.1667303{col 74}{space 3} 1.069998
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1033409{col 33}{space 2} .0264885{col 44}{space 1}    3.90{col 53}{space 3}0.000{col 61}{space 4} .0514244{col 74}{space 3} .1552573
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1073848{col 33}{space 2} .0229558{col 44}{space 1}    4.68{col 53}{space 3}0.000{col 61}{space 4} .0623923{col 74}{space 3} .1523773
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2627894{col 33}{space 2} .0945498{col 44}{space 1}    2.78{col 53}{space 3}0.005{col 61}{space 4} .0774753{col 74}{space 3} .4481035
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0651714{col 33}{space 2} .0338166{col 44}{space 1}    1.93{col 53}{space 3}0.054{col 61}{space 4} -.001108{col 74}{space 3} .1314508
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0921129{col 33}{space 2} .0277563{col 44}{space 1}    3.32{col 53}{space 3}0.001{col 61}{space 4} .0377115{col 74}{space 3} .1465142
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount1
{txt}
{com}. 
. eststo m4: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( amount_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe) [pw=mean_weight], indicators($cmp_probit $cmp_cont) iterate(50) difficult vce(cluster id)
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-1528.1723}  
Iteration 1:{space 3}log likelihood = {res:-1468.9755}  
Iteration 2:{space 3}log likelihood = {res:-1468.4152}  
Iteration 3:{space 3}log likelihood = {res:-1468.4151}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     3,777
{txt}{col 49}LR chi2({res}12{txt}){col 67}= {res}    119.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1468.4151{txt}{col 49}Pseudo R2{col 67}= {res}    0.0391

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0828743{col 33}{space 2} .0514508{col 44}{space 1}   -1.61{col 53}{space 3}0.107{col 61}{space 4}-.1837161{col 74}{space 3} .0179675
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0313062{col 33}{space 2} .0514762{col 44}{space 1}   -0.61{col 53}{space 3}0.543{col 61}{space 4}-.1321977{col 74}{space 3} .0695852
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0242408{col 33}{space 2} .0513947{col 44}{space 1}    0.47{col 53}{space 3}0.637{col 61}{space 4}-.0764908{col 74}{space 3} .1249725
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1285745{col 33}{space 2} .0514968{col 44}{space 1}   -2.50{col 53}{space 3}0.013{col 61}{space 4}-.2295064{col 74}{space 3}-.0276427
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2120619{col 33}{space 2} .0516251{col 44}{space 1}   -4.11{col 53}{space 3}0.000{col 61}{space 4}-.3132452{col 74}{space 3}-.1108785
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  .131577{col 33}{space 2} .0515032{col 44}{space 1}    2.55{col 53}{space 3}0.011{col 61}{space 4} .0306326{col 74}{space 3} .2325215
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .8260812{col 33}{space 2} .2285899{col 44}{space 1}    3.61{col 53}{space 3}0.000{col 61}{space 4} .3780531{col 74}{space 3} 1.274109
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3594048{col 33}{space 2}  .082895{col 44}{space 1}   -4.34{col 53}{space 3}0.000{col 61}{space 4} -.521876{col 74}{space 3}-.1969336
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.336007{col 33}{space 2}  .074964{col 44}{space 1}   -4.48{col 53}{space 3}0.000{col 61}{space 4}-.4829337{col 74}{space 3}-.1890802
{txt}{space 17}5  {c |}{col 21}{res}{space 2}  .280673{col 33}{space 2} .1241039{col 44}{space 1}    2.26{col 53}{space 3}0.024{col 61}{space 4} .0374338{col 74}{space 3} .5239122
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.6165448{col 33}{space 2}  .123084{col 44}{space 1}   -5.01{col 53}{space 3}0.000{col 61}{space 4} -.857785{col 74}{space 3}-.3753045
{txt}{space 17}7  {c |}{col 21}{res}{space 2} -.441835{col 33}{space 2} .0893094{col 44}{space 1}   -4.95{col 53}{space 3}0.000{col 61}{space 4}-.6168782{col 74}{space 3}-.2667918
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7670461{col 33}{space 2} .0872507{col 44}{space 1}   -8.79{col 53}{space 3}0.000{col 61}{space 4}-.9380543{col 74}{space 3}-.5960379
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,796
{txt}{hline 13}{c +}{hline 34}   F(12, 3783)     = {res}     4.99
{txt}       Model {c |} {res} 76943.9799        12  6411.99833   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4863789.27     3,783  1285.69634   {txt}R-squared       ={res}    0.0156
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0125
{txt}       Total {c |} {res} 4940733.25     3,795  1301.90599   {txt}Root MSE        =   {res} 35.856

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .194804{col 33}{space 2} 1.165629{col 44}{space 1}    0.17{col 53}{space 3}0.867{col 61}{space 4}-2.090517{col 74}{space 3} 2.480125
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.446806{col 33}{space 2} 1.166977{col 44}{space 1}    1.24{col 53}{space 3}0.215{col 61}{space 4} -.841158{col 74}{space 3}  3.73477
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2467828{col 33}{space 2} 1.166834{col 44}{space 1}   -0.21{col 53}{space 3}0.833{col 61}{space 4}-2.534467{col 74}{space 3} 2.040901
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0542528{col 33}{space 2} 1.165622{col 44}{space 1}    0.05{col 53}{space 3}0.963{col 61}{space 4}-2.231056{col 74}{space 3} 2.339562
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.445705{col 33}{space 2} 1.167223{col 44}{space 1}    1.24{col 53}{space 3}0.216{col 61}{space 4}-.8427418{col 74}{space 3} 3.734152
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.307016{col 33}{space 2}  1.16586{col 44}{space 1}    1.98{col 53}{space 3}0.048{col 61}{space 4} .0212405{col 74}{space 3} 4.592791
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.770979{col 33}{space 2}  7.41564{col 44}{space 1}   -0.37{col 53}{space 3}0.709{col 61}{space 4}-17.31002{col 74}{space 3} 11.76806
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.292731{col 33}{space 2} 2.023274{col 44}{space 1}    4.59{col 53}{space 3}0.000{col 61}{space 4} 5.325917{col 74}{space 3} 13.25955
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3641825{col 33}{space 2} 1.874246{col 44}{space 1}   -0.19{col 53}{space 3}0.846{col 61}{space 4}-4.038812{col 74}{space 3} 3.310447
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.848512{col 33}{space 2}  3.51625{col 44}{space 1}   -0.81{col 53}{space 3}0.418{col 61}{space 4}-9.742441{col 74}{space 3} 4.045417
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.582135{col 33}{space 2} 2.573479{col 44}{space 1}   -1.39{col 53}{space 3}0.164{col 61}{space 4}-8.627675{col 74}{space 3} 1.463405
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.717985{col 33}{space 2}  2.09816{col 44}{space 1}    1.77{col 53}{space 3}0.076{col 61}{space 4}-.3956492{col 74}{space 3} 7.831619
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.235504{col 33}{space 2} 2.136792{col 44}{space 1}    1.51{col 53}{space 3}0.130{col 61}{space 4}-.9538725{col 74}{space 3} 7.424881
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}amount_clean{res} equation appears ill-conditioned. (Condition number = 20.774531.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-20435.675}  
Iteration 1:{space 3}log pseudolikelihood = {res:-20435.337}  
Iteration 2:{space 3}log pseudolikelihood = {res:-20435.179}  
Iteration 3:{space 3}log pseudolikelihood = {res:-20435.178}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}    109.69
{txt}Log pseudolikelihood = {res}-20435.178{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{ralign 85:(Std. Err. adjusted for {res:276} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.084442{col 33}{space 2} .0649085{col 44}{space 1}   -1.30{col 53}{space 3}0.193{col 61}{space 4}-.2116602{col 74}{space 3} .0427762
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0319381{col 33}{space 2} .0633719{col 44}{space 1}   -0.50{col 53}{space 3}0.614{col 61}{space 4}-.1561447{col 74}{space 3} .0922685
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0231544{col 33}{space 2} .0632601{col 44}{space 1}    0.37{col 53}{space 3}0.714{col 61}{space 4}-.1008331{col 74}{space 3} .1471418
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.129828{col 33}{space 2} .0647008{col 44}{space 1}   -2.01{col 53}{space 3}0.045{col 61}{space 4}-.2566391{col 74}{space 3}-.0030168
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2122126{col 33}{space 2} .0715096{col 44}{space 1}   -2.97{col 53}{space 3}0.003{col 61}{space 4}-.3523689{col 74}{space 3}-.0720563
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1305531{col 33}{space 2} .0539879{col 44}{space 1}    2.42{col 53}{space 3}0.016{col 61}{space 4} .0247387{col 74}{space 3} .2363675
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .8268562{col 33}{space 2} .8193313{col 44}{space 1}    1.01{col 53}{space 3}0.313{col 61}{space 4}-.7790037{col 74}{space 3} 2.432716
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3624915{col 33}{space 2} .2089275{col 44}{space 1}   -1.74{col 53}{space 3}0.083{col 61}{space 4}-.7719818{col 74}{space 3} .0469988
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3359838{col 33}{space 2} .1961004{col 44}{space 1}   -1.71{col 53}{space 3}0.087{col 61}{space 4}-.7203335{col 74}{space 3} .0483659
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2797051{col 33}{space 2} .3342099{col 44}{space 1}    0.84{col 53}{space 3}0.403{col 61}{space 4}-.3753343{col 74}{space 3} .9347445
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.6161686{col 33}{space 2} .3055183{col 44}{space 1}   -2.02{col 53}{space 3}0.044{col 61}{space 4}-1.214974{col 74}{space 3}-.0173637
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4432654{col 33}{space 2} .2269659{col 44}{space 1}   -1.95{col 53}{space 3}0.051{col 61}{space 4}-.8881104{col 74}{space 3} .0015796
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  -.76278{col 33}{space 2} .1714046{col 44}{space 1}   -4.45{col 53}{space 3}0.000{col 61}{space 4}-1.098727{col 74}{space 3}-.4268332
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}amount_clean        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .1857665{col 33}{space 2} 1.948836{col 44}{space 1}    0.10{col 53}{space 3}0.924{col 61}{space 4}-3.633882{col 74}{space 3} 4.005415
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  1.42018{col 33}{space 2} 1.483077{col 44}{space 1}    0.96{col 53}{space 3}0.338{col 61}{space 4}-1.486597{col 74}{space 3} 4.326957
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2539458{col 33}{space 2}  1.39196{col 44}{space 1}   -0.18{col 53}{space 3}0.855{col 61}{space 4}-2.982137{col 74}{space 3} 2.474246
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0059893{col 33}{space 2} 1.547991{col 44}{space 1}   -0.00{col 53}{space 3}0.997{col 61}{space 4}-3.039995{col 74}{space 3} 3.028017
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.299555{col 33}{space 2} .9319963{col 44}{space 1}    1.39{col 53}{space 3}0.163{col 61}{space 4}-.5271244{col 74}{space 3} 3.126234
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 2.390274{col 33}{space 2} 1.454844{col 44}{space 1}    1.64{col 53}{space 3}0.100{col 61}{space 4}-.4611674{col 74}{space 3} 5.241715
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.159892{col 33}{space 2} 3.554849{col 44}{space 1}   -0.61{col 53}{space 3}0.543{col 61}{space 4}-9.127267{col 74}{space 3} 4.807484
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 9.052273{col 33}{space 2} 5.311356{col 44}{space 1}    1.70{col 53}{space 3}0.088{col 61}{space 4}-1.357793{col 74}{space 3} 19.46234
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.5399351{col 33}{space 2} 2.104196{col 44}{space 1}   -0.26{col 53}{space 3}0.797{col 61}{space 4}-4.664084{col 74}{space 3} 3.584214
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.665774{col 33}{space 2} 1.470408{col 44}{space 1}   -1.81{col 53}{space 3}0.070{col 61}{space 4}-5.547721{col 74}{space 3} .2161724
{txt}{space 17}6  {c |}{col 21}{res}{space 2}  -3.8832{col 33}{space 2} 1.434546{col 44}{space 1}   -2.71{col 53}{space 3}0.007{col 61}{space 4}-6.694859{col 74}{space 3}-1.071541
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 3.486975{col 33}{space 2} 4.272372{col 44}{space 1}    0.82{col 53}{space 3}0.414{col 61}{space 4} -4.88672{col 74}{space 3} 11.86067
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.921286{col 33}{space 2} 3.591107{col 44}{space 1}    1.09{col 53}{space 3}0.275{col 61}{space 4}-3.117154{col 74}{space 3} 10.95973
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2}  3.57832{col 33}{space 2} .2290737{col 44}{space 1}   15.62{col 53}{space 3}0.000{col 61}{space 4} 3.129343{col 74}{space 3} 4.027296
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2} .0633256{col 33}{space 2} .0425581{col 44}{space 1}    1.49{col 53}{space 3}0.137{col 61}{space 4}-.0200868{col 74}{space 3}  .146738
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 35.81331{col 33}{space 2} 8.203887{col 61}{space 4} 22.85896{col 74}{space 3} 56.10897
{txt}             rho_12 {c |}{col 21}{res}{space 2} .0632411{col 33}{space 2} .0423879{col 61}{space 4}-.0200841{col 74}{space 3} .1456938
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5019084 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4980916 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5022406 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4977594 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4994139 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5005861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4941789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5058211 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4955623 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5044377 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5029965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4970035 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1419698 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0091841 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2122124 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3413271 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0395392 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0794245 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 4}.176343 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.259515{col 33}{space 2} 1.919618{col 44}{space 1}    4.30{col 53}{space 3}0.000{col 61}{space 4} 4.497134{col 74}{space 3}  12.0219
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 8.445282{col 33}{space 2} 1.787115{col 44}{space 1}    4.73{col 53}{space 3}0.000{col 61}{space 4} 4.942601{col 74}{space 3} 11.94796
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 7.645136{col 33}{space 2} 1.659365{col 44}{space 1}    4.61{col 53}{space 3}0.000{col 61}{space 4} 4.392839{col 74}{space 3} 10.89743
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 9.065316{col 33}{space 2} 1.824955{col 44}{space 1}    4.97{col 53}{space 3}0.000{col 61}{space 4}  5.48847{col 74}{space 3} 12.64216
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.479166{col 33}{space 2} 1.652561{col 44}{space 1}    5.13{col 53}{space 3}0.000{col 61}{space 4} 5.240206{col 74}{space 3} 11.71813
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  8.22522{col 33}{space 2} 1.794123{col 44}{space 1}    4.58{col 53}{space 3}0.000{col 61}{space 4} 4.708802{col 74}{space 3} 11.74164
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.355073{col 33}{space 2}  1.55651{col 44}{space 1}    5.37{col 53}{space 3}0.000{col 61}{space 4}  5.30437{col 74}{space 3} 11.40578
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 8.349084{col 33}{space 2} 1.934304{col 44}{space 1}    4.32{col 53}{space 3}0.000{col 61}{space 4} 4.557918{col 74}{space 3} 12.14025
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 7.696499{col 33}{space 2}  1.73629{col 44}{space 1}    4.43{col 53}{space 3}0.000{col 61}{space 4} 4.293434{col 74}{space 3} 11.09956
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 8.996054{col 33}{space 2} 1.551323{col 44}{space 1}    5.80{col 53}{space 3}0.000{col 61}{space 4} 5.955517{col 74}{space 3} 12.03659
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 7.164069{col 33}{space 2} 1.288541{col 44}{space 1}    5.56{col 53}{space 3}0.000{col 61}{space 4} 4.638575{col 74}{space 3} 9.689564
{txt}Private foundation  {c |}{col 21}{res}{space 2} 9.554343{col 33}{space 2} 2.096649{col 44}{space 1}    4.56{col 53}{space 3}0.000{col 61}{space 4} 5.444987{col 74}{space 3}  13.6637
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 6.434091{col 33}{space 2} 1.319705{col 44}{space 1}    4.88{col 53}{space 3}0.000{col 61}{space 4} 3.847516{col 74}{space 3} 9.020665
{txt}{space 17}2  {c |}{col 21}{res}{space 2} 4.274199{col 33}{space 2} 3.397778{col 44}{space 1}    1.26{col 53}{space 3}0.208{col 61}{space 4}-2.385324{col 74}{space 3} 10.93372
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 15.48636{col 33}{space 2} 5.277024{col 44}{space 1}    2.93{col 53}{space 3}0.003{col 61}{space 4} 5.143588{col 74}{space 3} 25.82914
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 5.894156{col 33}{space 2} 1.713034{col 44}{space 1}    3.44{col 53}{space 3}0.001{col 61}{space 4} 2.536671{col 74}{space 3}  9.25164
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 3.768316{col 33}{space 2} .9223828{col 44}{space 1}    4.09{col 53}{space 3}0.000{col 61}{space 4} 1.960479{col 74}{space 3} 5.576153
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 2.550891{col 33}{space 2} .6694649{col 44}{space 1}    3.81{col 53}{space 3}0.000{col 61}{space 4} 1.238764{col 74}{space 3} 3.863018
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 9.921066{col 33}{space 2} 4.175145{col 44}{space 1}    2.38{col 53}{space 3}0.017{col 61}{space 4} 1.737932{col 74}{space 3}  18.1042
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount2
{txt}
{com}. 
. *Coefficient plot
. 
. *overhead
. coefplot overhead1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot overhead2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. *amount
. coefplot amount1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot amount2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. graph combine amount2 overhead2, scheme(plotplainblind) 
{res}{txt}
{com}. 
. **************************************************************
. *Figure A5: Country- and sector-focused staff--funding amount*
. **************************************************************
. 
. reg overhead_clean i.country i.sector i.project i.own_area i.length i.source i.io_fe if q11=="Country-focused staff"

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,401
{txt}{hline 13}{c +}{hline 34}   F(11, 1389)     = {res}     5.96
{txt}       Model {c |} {res} 17357.9338        11  1577.99399   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 367669.638     1,389  264.700963   {txt}R-squared       ={res}    0.0451
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0375
{txt}       Total {c |} {res} 385027.572     1,400  275.019694   {txt}Root MSE        =   {res}  16.27

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .4169639{col 33}{space 2} .8744268{col 44}{space 1}    0.48{col 53}{space 3}0.634{col 61}{space 4}-1.298376{col 74}{space 3} 2.132304
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.7621136{col 33}{space 2} .8707754{col 44}{space 1}   -0.88{col 53}{space 3}0.382{col 61}{space 4} -2.47029{col 74}{space 3} .9460633
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0596658{col 33}{space 2} .8712196{col 44}{space 1}   -0.07{col 53}{space 3}0.945{col 61}{space 4}-1.768714{col 74}{space 3} 1.649383
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .9146492{col 33}{space 2} .8716828{col 44}{space 1}    1.05{col 53}{space 3}0.294{col 61}{space 4}-.7953077{col 74}{space 3} 2.624606
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.438776{col 33}{space 2} .8727972{col 44}{space 1}    1.65{col 53}{space 3}0.099{col 61}{space 4}-.2733669{col 74}{space 3} 3.150919
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.7781827{col 33}{space 2} .8735198{col 44}{space 1}   -0.89{col 53}{space 3}0.373{col 61}{space 4}-2.491743{col 74}{space 3} .9353779
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}3  {c |}{col 21}{res}{space 2} 11.02508{col 33}{space 2} 1.951655{col 44}{space 1}    5.65{col 53}{space 3}0.000{col 61}{space 4} 7.196568{col 74}{space 3} 14.85359
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 4.366347{col 33}{space 2} 1.841364{col 44}{space 1}    2.37{col 53}{space 3}0.018{col 61}{space 4} .7541918{col 74}{space 3} 7.978503
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 7.158911{col 33}{space 2} 4.113676{col 44}{space 1}    1.74{col 53}{space 3}0.082{col 61}{space 4}-.9107777{col 74}{space 3}  15.2286
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .3683049{col 33}{space 2} 2.205556{col 44}{space 1}    0.17{col 53}{space 3}0.867{col 61}{space 4}-3.958275{col 74}{space 3} 4.694884
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 5.998861{col 33}{space 2} 1.972807{col 44}{space 1}    3.04{col 53}{space 3}0.002{col 61}{space 4} 2.128859{col 74}{space 3} 9.868863
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 8.480015{col 33}{space 2} 1.984141{col 44}{space 1}    4.27{col 53}{space 3}0.000{col 61}{space 4} 4.587779{col 74}{space 3} 12.37225
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source i.io_fe, atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,401
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.4782298 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.5217702 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.4953605 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.5046395 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.5003569 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.4996431 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4932191 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5067809 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.5053533 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.4946467 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5117773 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4882227 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.0649536 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2155603 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.4111349 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0135617 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0970735 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1977159 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 14.35153{col 33}{space 2} .6301596{col 44}{space 1}   22.77{col 53}{space 3}0.000{col 61}{space 4} 13.11537{col 74}{space 3}  15.5877
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  14.7685{col 33}{space 2}  .603166{col 44}{space 1}   24.48{col 53}{space 3}0.000{col 61}{space 4} 13.58528{col 74}{space 3} 15.95171
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 14.95369{col 33}{space 2} .6180889{col 44}{space 1}   24.19{col 53}{space 3}0.000{col 61}{space 4}  13.7412{col 74}{space 3} 16.16617
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.19157{col 33}{space 2} .6123708{col 44}{space 1}   23.17{col 53}{space 3}0.000{col 61}{space 4}  12.9903{col 74}{space 3} 15.39284
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 14.59891{col 33}{space 2} .6151604{col 44}{space 1}   23.73{col 53}{space 3}0.000{col 61}{space 4} 13.39216{col 74}{space 3} 15.80565
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.53924{col 33}{space 2} .6156006{col 44}{space 1}   23.62{col 53}{space 3}0.000{col 61}{space 4} 13.33163{col 74}{space 3} 15.74685
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 14.10557{col 33}{space 2} .6197436{col 44}{space 1}   22.76{col 53}{space 3}0.000{col 61}{space 4} 12.88983{col 74}{space 3}  15.3213
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 15.02022{col 33}{space 2} .6113735{col 44}{space 1}   24.57{col 53}{space 3}0.000{col 61}{space 4}  13.8209{col 74}{space 3} 16.21953
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 13.85741{col 33}{space 2} .6126375{col 44}{space 1}   22.62{col 53}{space 3}0.000{col 61}{space 4} 12.65561{col 74}{space 3}  15.0592
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 15.29618{col 33}{space 2} .6192582{col 44}{space 1}   24.70{col 53}{space 3}0.000{col 61}{space 4}  14.0814{col 74}{space 3} 16.51097
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 14.94902{col 33}{space 2} .6089464{col 44}{space 1}   24.55{col 53}{space 3}0.000{col 61}{space 4} 13.75447{col 74}{space 3} 16.14357
{txt}Private foundation  {c |}{col 21}{res}{space 2} 14.17084{col 33}{space 2} .6235293{col 44}{space 1}   22.73{col 53}{space 3}0.000{col 61}{space 4} 12.94768{col 74}{space 3}   15.394
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 9.078456{col 33}{space 2} 1.710457{col 44}{space 1}    5.31{col 53}{space 3}0.000{col 61}{space 4} 5.723099{col 74}{space 3} 12.43381
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 20.10353{col 33}{space 2} .9387495{col 44}{space 1}   21.42{col 53}{space 3}0.000{col 61}{space 4} 18.26201{col 74}{space 3} 21.94505
{txt}{space 17}4  {c |}{col 21}{res}{space 2}  13.4448{col 33}{space 2} .6784784{col 44}{space 1}   19.82{col 53}{space 3}0.000{col 61}{space 4} 12.11385{col 74}{space 3} 14.77576
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 16.23737{col 33}{space 2} 3.745191{col 44}{space 1}    4.34{col 53}{space 3}0.000{col 61}{space 4} 8.890526{col 74}{space 3} 23.58421
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 9.446761{col 33}{space 2} 1.397414{col 44}{space 1}    6.76{col 53}{space 3}0.000{col 61}{space 4} 6.705492{col 74}{space 3} 12.18803
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 15.07732{col 33}{space 2} .9788666{col 44}{space 1}   15.40{col 53}{space 3}0.000{col 61}{space 4}  13.1571{col 74}{space 3} 16.99753
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead_country
{txt}
{com}. 
. reg overhead_clean i.country i.sector i.project i.own_area i.length i.source i.io_fe  if q11=="Sector-focused staff"

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,389
{txt}{hline 13}{c +}{hline 34}   F(12, 1376)     = {res}    26.40
{txt}       Model {c |} {res} 78286.4719        12  6523.87266   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  340033.71     1,376  247.117522   {txt}R-squared       ={res}    0.1871
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1801
{txt}       Total {c |} {res} 418320.182     1,388  301.383417   {txt}Root MSE        =   {res}  15.72

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.6166436{col 33}{space 2} .8474836{col 44}{space 1}   -0.73{col 53}{space 3}0.467{col 61}{space 4}-2.279143{col 74}{space 3} 1.045856
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.306192{col 33}{space 2} .8476816{col 44}{space 1}    1.54{col 53}{space 3}0.124{col 61}{space 4}-.3566959{col 74}{space 3}  2.96908
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.6816858{col 33}{space 2}  .847156{col 44}{space 1}   -0.80{col 53}{space 3}0.421{col 61}{space 4}-2.343543{col 74}{space 3} .9801712
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-1.122016{col 33}{space 2} .8472235{col 44}{space 1}   -1.32{col 53}{space 3}0.186{col 61}{space 4}-2.784005{col 74}{space 3} .5399739
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2857741{col 33}{space 2} .8497254{col 44}{space 1}   -0.34{col 53}{space 3}0.737{col 61}{space 4}-1.952671{col 74}{space 3} 1.381123
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.9839226{col 33}{space 2} .8466924{col 44}{space 1}   -1.16{col 53}{space 3}0.245{col 61}{space 4} -2.64487{col 74}{space 3} .6770251
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-6.459835{col 33}{space 2} 4.189119{col 44}{space 1}   -1.54{col 53}{space 3}0.123{col 61}{space 4}-14.67758{col 74}{space 3} 1.757915
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  14.4869{col 33}{space 2} 1.388994{col 44}{space 1}   10.43{col 53}{space 3}0.000{col 61}{space 4} 11.76212{col 74}{space 3} 17.21167
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-4.498093{col 33}{space 2} 1.198937{col 44}{space 1}   -3.75{col 53}{space 3}0.000{col 61}{space 4}-6.850036{col 74}{space 3}-2.146151
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-1.856718{col 33}{space 2} 2.767967{col 44}{space 1}   -0.67{col 53}{space 3}0.502{col 61}{space 4}-7.286611{col 74}{space 3} 3.573175
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.378626{col 33}{space 2} 1.977333{col 44}{space 1}   -1.20{col 53}{space 3}0.229{col 61}{space 4} -6.25754{col 74}{space 3} 1.500287
{txt}{space 17}7  {c |}{col 21}{res}{space 2}  -7.5512{col 33}{space 2} 1.423308{col 44}{space 1}   -5.31{col 53}{space 3}0.000{col 61}{space 4}-10.34329{col 74}{space 3}-4.759112
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}    17.39{col 33}{space 2} 1.453893{col 44}{space 1}   11.96{col 53}{space 3}0.000{col 61}{space 4} 14.53791{col 74}{space 3} 20.24209
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source i.io_fe, atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,389
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5111591 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4888409 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 5}.50036 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 5}.49964 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.5097192 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.4902808 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4679626 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5320374 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4715623 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5284377 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5212383 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4787617 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 4}.187905 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0107991 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.1828654 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3642909 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0266379 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0604752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1670266 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 15.97559{col 33}{space 2} .5912209{col 44}{space 1}   27.02{col 53}{space 3}0.000{col 61}{space 4}  14.8158{col 74}{space 3} 17.13539
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 15.35895{col 33}{space 2} .6046253{col 44}{space 1}   25.40{col 53}{space 3}0.000{col 61}{space 4} 14.17286{col 74}{space 3} 16.54504
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 15.02153{col 33}{space 2} .5977398{col 44}{space 1}   25.13{col 53}{space 3}0.000{col 61}{space 4} 13.84895{col 74}{space 3} 16.19411
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 16.32772{col 33}{space 2} .5981724{col 44}{space 1}   27.30{col 53}{space 3}0.000{col 61}{space 4} 15.15429{col 74}{space 3} 17.50115
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 16.00837{col 33}{space 2} .5919639{col 44}{space 1}   27.04{col 53}{space 3}0.000{col 61}{space 4} 14.84712{col 74}{space 3} 17.16962
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 15.32669{col 33}{space 2} .6036321{col 44}{space 1}   25.39{col 53}{space 3}0.000{col 61}{space 4} 14.14255{col 74}{space 3} 16.51082
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 16.27111{col 33}{space 2}  .617325{col 44}{space 1}   26.36{col 53}{space 3}0.000{col 61}{space 4} 15.06011{col 74}{space 3} 17.48211
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 15.14909{col 33}{space 2} .5788765{col 44}{space 1}   26.17{col 53}{space 3}0.000{col 61}{space 4} 14.01352{col 74}{space 3} 16.28467
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 15.82517{col 33}{space 2} .6160646{col 44}{space 1}   25.69{col 53}{space 3}0.000{col 61}{space 4} 14.61664{col 74}{space 3}  17.0337
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 15.53939{col 33}{space 2} .5817814{col 44}{space 1}   26.71{col 53}{space 3}0.000{col 61}{space 4} 14.39812{col 74}{space 3} 16.68067
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 16.14522{col 33}{space 2} .5850045{col 44}{space 1}   27.60{col 53}{space 3}0.000{col 61}{space 4} 14.99762{col 74}{space 3} 17.29282
{txt}Private foundation  {c |}{col 21}{res}{space 2}  15.1613{col 33}{space 2} .6104762{col 44}{space 1}   24.84{col 53}{space 3}0.000{col 61}{space 4} 13.96373{col 74}{space 3} 16.35886
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 16.18794{col 33}{space 2} .9740143{col 44}{space 1}   16.62{col 53}{space 3}0.000{col 61}{space 4} 14.27722{col 74}{space 3} 18.09865
{txt}{space 17}2  {c |}{col 21}{res}{space 2} 9.728101{col 33}{space 2} 4.073516{col 44}{space 1}    2.39{col 53}{space 3}0.017{col 61}{space 4} 1.737127{col 74}{space 3} 17.71908
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 30.67483{col 33}{space 2} .9893841{col 44}{space 1}   31.00{col 53}{space 3}0.000{col 61}{space 4} 28.73397{col 74}{space 3}  32.6157
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 11.68984{col 33}{space 2} .6993998{col 44}{space 1}   16.71{col 53}{space 3}0.000{col 61}{space 4} 10.31784{col 74}{space 3} 13.06185
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 14.33122{col 33}{space 2} 2.589463{col 44}{space 1}    5.53{col 53}{space 3}0.000{col 61}{space 4} 9.251496{col 74}{space 3} 19.41094
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 13.80931{col 33}{space 2} 1.721145{col 44}{space 1}    8.02{col 53}{space 3}0.000{col 61}{space 4} 10.43296{col 74}{space 3} 17.18566
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 8.636735{col 33}{space 2} 1.036834{col 44}{space 1}    8.33{col 53}{space 3}0.000{col 61}{space 4} 6.602789{col 74}{space 3} 10.67068
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead_sector
{txt}
{com}. 
. reg amount_clean i.country i.sector i.project i.own_area i.length i.source i.io_fe if q11=="Country-focused staff"

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,356
{txt}{hline 13}{c +}{hline 34}   F(11, 1344)     = {res}     3.90
{txt}       Model {c |} {res} 19876.4833        11  1806.95303   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 623437.376     1,344  463.867095   {txt}R-squared       ={res}    0.0309
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0230
{txt}       Total {c |} {res} 643313.859     1,355  474.770376   {txt}Root MSE        =   {res} 21.538

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 3.040782{col 33}{space 2} 1.174389{col 44}{space 1}    2.59{col 53}{space 3}0.010{col 61}{space 4} .7369475{col 74}{space 3} 5.344617
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .4399273{col 33}{space 2} 1.171966{col 44}{space 1}    0.38{col 53}{space 3}0.707{col 61}{space 4}-1.859155{col 74}{space 3} 2.739009
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .4979061{col 33}{space 2} 1.173722{col 44}{space 1}    0.42{col 53}{space 3}0.671{col 61}{space 4}-1.804621{col 74}{space 3} 2.800433
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0207235{col 33}{space 2} 1.174305{col 44}{space 1}   -0.02{col 53}{space 3}0.986{col 61}{space 4}-2.324393{col 74}{space 3} 2.282946
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 3.203204{col 33}{space 2} 1.173912{col 44}{space 1}    2.73{col 53}{space 3}0.006{col 61}{space 4} .9003045{col 74}{space 3} 5.506104
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 1.221485{col 33}{space 2} 1.176553{col 44}{space 1}    1.04{col 53}{space 3}0.299{col 61}{space 4}-1.086595{col 74}{space 3} 3.529565
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}3  {c |}{col 21}{res}{space 2}   5.6707{col 33}{space 2} 2.624194{col 44}{space 1}    2.16{col 53}{space 3}0.031{col 61}{space 4} .5227381{col 74}{space 3} 10.81866
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.9245052{col 33}{space 2} 2.497515{col 44}{space 1}   -0.37{col 53}{space 3}0.711{col 61}{space 4}-5.823956{col 74}{space 3} 3.974946
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-2.017972{col 33}{space 2} 5.466558{col 44}{space 1}   -0.37{col 53}{space 3}0.712{col 61}{space 4}-12.74189{col 74}{space 3} 8.705943
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.769917{col 33}{space 2} 2.984965{col 44}{space 1}   -1.26{col 53}{space 3}0.207{col 61}{space 4}-9.625613{col 74}{space 3}  2.08578
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-2.054931{col 33}{space 2} 2.653789{col 44}{space 1}   -0.77{col 53}{space 3}0.439{col 61}{space 4}-7.260949{col 74}{space 3} 3.151088
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.458719{col 33}{space 2} 2.658567{col 44}{space 1}    0.92{col 53}{space 3}0.355{col 61}{space 4}-2.756672{col 74}{space 3} 7.674111
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source i.io_fe, atmeans  force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,356
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.4852507 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.5147493 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.4955752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.5044248 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4955752 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5044248 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4933628 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5066372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 9}.5 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 9}.5 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5147493 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4852507 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.0641593 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2249263 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3952802 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0140118 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0966077 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.2050147 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 5.211896{col 33}{space 2} .8411446{col 44}{space 1}    6.20{col 53}{space 3}0.000{col 61}{space 4} 3.561797{col 74}{space 3} 6.861995
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 8.252678{col 33}{space 2} .8166029{col 44}{space 1}   10.11{col 53}{space 3}0.000{col 61}{space 4} 6.650724{col 74}{space 3} 9.854633
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 6.555227{col 33}{space 2} .8316041{col 44}{space 1}    7.88{col 53}{space 3}0.000{col 61}{space 4} 4.923843{col 74}{space 3}  8.18661
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 6.995154{col 33}{space 2} .8242636{col 44}{space 1}    8.49{col 53}{space 3}0.000{col 61}{space 4} 5.378171{col 74}{space 3} 8.612137
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 6.525981{col 33}{space 2}  .832234{col 44}{space 1}    7.84{col 53}{space 3}0.000{col 61}{space 4} 4.893362{col 74}{space 3}   8.1586
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 7.023887{col 33}{space 2}  .824877{col 44}{space 1}    8.52{col 53}{space 3}0.000{col 61}{space 4}   5.4057{col 74}{space 3} 8.642073
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 6.787636{col 33}{space 2} .8342938{col 44}{space 1}    8.14{col 53}{space 3}0.000{col 61}{space 4} 5.150976{col 74}{space 3} 8.424296
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 6.766913{col 33}{space 2} .8232502{col 44}{space 1}    8.22{col 53}{space 3}0.000{col 61}{space 4} 5.151917{col 74}{space 3} 8.381908
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 5.175535{col 33}{space 2} .8286147{col 44}{space 1}    6.25{col 53}{space 3}0.000{col 61}{space 4} 3.550016{col 74}{space 3} 6.801054
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 8.378739{col 33}{space 2} .8286147{col 44}{space 1}   10.11{col 53}{space 3}0.000{col 61}{space 4}  6.75322{col 74}{space 3} 10.00426
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2}  6.18441{col 33}{space 2}  .817336{col 44}{space 1}    7.57{col 53}{space 3}0.000{col 61}{space 4} 4.581017{col 74}{space 3} 7.787803
{txt}Private foundation  {c |}{col 21}{res}{space 2} 7.405895{col 33}{space 2} .8419456{col 44}{space 1}    8.80{col 53}{space 3}0.000{col 61}{space 4} 5.754225{col 74}{space 3} 9.057566
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 6.680855{col 33}{space 2} 2.315066{col 44}{space 1}    2.89{col 53}{space 3}0.004{col 61}{space 4} 2.139319{col 74}{space 3} 11.22239
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 12.35156{col 33}{space 2} 1.236419{col 44}{space 1}    9.99{col 53}{space 3}0.000{col 61}{space 4} 9.926034{col 74}{space 3} 14.77708
{txt}{space 17}4  {c |}{col 21}{res}{space 2}  5.75635{col 33}{space 2} .9313275{col 44}{space 1}    6.18{col 53}{space 3}0.000{col 61}{space 4} 3.929337{col 74}{space 3} 7.583364
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 4.662883{col 33}{space 2} 4.960226{col 44}{space 1}    0.94{col 53}{space 3}0.347{col 61}{space 4}-5.067745{col 74}{space 3} 14.39351
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 2.910939{col 33}{space 2} 1.887069{col 44}{space 1}    1.54{col 53}{space 3}0.123{col 61}{space 4} -.790983{col 74}{space 3} 6.612861
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 4.625925{col 33}{space 2} 1.293754{col 44}{space 1}    3.58{col 53}{space 3}0.000{col 61}{space 4} 2.087928{col 74}{space 3} 7.163922
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount_country
{txt}
{com}. 
. reg amount_clean i.country i.sector i.project i.own_area i.length i.source i.io_fe  if q11=="Sector-focused staff"

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,360
{txt}{hline 13}{c +}{hline 34}   F(12, 1347)     = {res}     4.42
{txt}       Model {c |} {res} 64588.3089        12  5382.35907   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1640553.98     1,347  1217.93169   {txt}R-squared       ={res}    0.0379
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0293
{txt}       Total {c |} {res} 1705142.29     1,359  1254.70367   {txt}Root MSE        =   {res} 34.899

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-5.011629{col 33}{space 2} 1.899838{col 44}{space 1}   -2.64{col 53}{space 3}0.008{col 61}{space 4}-8.738592{col 74}{space 3}-1.284666
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0616428{col 33}{space 2} 1.902462{col 44}{space 1}   -0.03{col 53}{space 3}0.974{col 61}{space 4}-3.793754{col 74}{space 3} 3.670468
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-2.424779{col 33}{space 2} 1.899186{col 44}{space 1}   -1.28{col 53}{space 3}0.202{col 61}{space 4}-6.150462{col 74}{space 3} 1.300904
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-3.272951{col 33}{space 2} 1.901306{col 44}{space 1}   -1.72{col 53}{space 3}0.085{col 61}{space 4}-7.002793{col 74}{space 3} .4568914
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.7110609{col 33}{space 2} 1.906954{col 44}{space 1}   -0.37{col 53}{space 3}0.709{col 61}{space 4}-4.451984{col 74}{space 3} 3.029862
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 1.000545{col 33}{space 2} 1.898301{col 44}{space 1}    0.53{col 53}{space 3}0.598{col 61}{space 4}-2.723403{col 74}{space 3} 4.724492
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.9923039{col 33}{space 2} 8.309571{col 44}{space 1}   -0.12{col 53}{space 3}0.905{col 61}{space 4}-17.29341{col 74}{space 3}  15.3088
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 15.75363{col 33}{space 2} 3.120675{col 44}{space 1}    5.05{col 53}{space 3}0.000{col 61}{space 4} 9.631724{col 74}{space 3} 21.87555
{txt}{space 17}4  {c |}{col 21}{res}{space 2}  .516993{col 33}{space 2} 2.656047{col 44}{space 1}    0.19{col 53}{space 3}0.846{col 61}{space 4}-4.693445{col 74}{space 3} 5.727431
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-1.575879{col 33}{space 2} 5.810838{col 44}{space 1}   -0.27{col 53}{space 3}0.786{col 61}{space 4}-12.97516{col 74}{space 3} 9.823398
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.800092{col 33}{space 2} 4.556273{col 44}{space 1}   -0.61{col 53}{space 3}0.539{col 61}{space 4}-11.73825{col 74}{space 3}  6.13807
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 6.478221{col 33}{space 2} 3.185004{col 44}{space 1}    2.03{col 53}{space 3}0.042{col 61}{space 4} .2301146{col 74}{space 3} 12.72633
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 9.196955{col 33}{space 2}  3.23796{col 44}{space 1}    2.84{col 53}{space 3}0.005{col 61}{space 4} 2.844963{col 74}{space 3} 15.54895
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source i.io_fe, atmeans  force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,360
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5095588 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4904412 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5007353 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4992647 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.5102941 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.4897059 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4676471 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5323529 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4676471 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5323529 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5154412 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4845588 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1948529 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0139706 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.1757353 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3654412 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0308824 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0558824 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1632353 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 10.13854{col 33}{space 2} 1.328048{col 44}{space 1}    7.63{col 53}{space 3}0.000{col 61}{space 4} 7.533274{col 74}{space 3} 12.74381
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 5.126913{col 33}{space 2} 1.353778{col 44}{space 1}    3.79{col 53}{space 3}0.000{col 61}{space 4}  2.47117{col 74}{space 3} 7.782656
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 7.711409{col 33}{space 2} 1.340791{col 44}{space 1}    5.75{col 53}{space 3}0.000{col 61}{space 4} 5.081144{col 74}{space 3} 10.34167
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 7.649766{col 33}{space 2} 1.342774{col 44}{space 1}    5.70{col 53}{space 3}0.000{col 61}{space 4}  5.01561{col 74}{space 3} 10.28392
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.868061{col 33}{space 2} 1.326845{col 44}{space 1}    6.68{col 53}{space 3}0.000{col 61}{space 4} 6.265154{col 74}{space 3} 11.47097
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 6.443282{col 33}{space 2} 1.354539{col 44}{space 1}    4.76{col 53}{space 3}0.000{col 61}{space 4} 3.786046{col 74}{space 3} 9.100518
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 9.422997{col 33}{space 2} 1.385647{col 44}{space 1}    6.80{col 53}{space 3}0.000{col 61}{space 4} 6.704737{col 74}{space 3} 12.14126
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 6.150047{col 33}{space 2} 1.298502{col 44}{space 1}    4.74{col 53}{space 3}0.000{col 61}{space 4}  3.60274{col 74}{space 3} 8.697353
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 8.059168{col 33}{space 2} 1.387845{col 44}{space 1}    5.81{col 53}{space 3}0.000{col 61}{space 4} 5.336595{col 74}{space 3} 10.78174
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 7.348107{col 33}{space 2} 1.300312{col 44}{space 1}    5.65{col 53}{space 3}0.000{col 61}{space 4} 4.797249{col 74}{space 3} 9.898965
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2}  7.19581{col 33}{space 2} 1.319712{col 44}{space 1}    5.45{col 53}{space 3}0.000{col 61}{space 4} 4.606895{col 74}{space 3} 9.784725
{txt}Private foundation  {c |}{col 21}{res}{space 2} 8.196354{col 33}{space 2} 1.361223{col 44}{space 1}    6.02{col 53}{space 3}0.000{col 61}{space 4} 5.526008{col 74}{space 3}  10.8667
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 3.884764{col 33}{space 2} 2.145781{col 44}{space 1}    1.81{col 53}{space 3}0.070{col 61}{space 4}-.3246717{col 74}{space 3} 8.094199
{txt}{space 17}2  {c |}{col 21}{res}{space 2}  2.89246{col 33}{space 2} 8.026243{col 44}{space 1}    0.36{col 53}{space 3}0.719{col 61}{space 4}-12.85284{col 74}{space 3} 18.63776
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  19.6384{col 33}{space 2} 2.265111{col 44}{space 1}    8.67{col 53}{space 3}0.000{col 61}{space 4} 15.19487{col 74}{space 3} 24.08193
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 4.401757{col 33}{space 2} 1.566309{col 44}{space 1}    2.81{col 53}{space 3}0.005{col 61}{space 4} 1.329087{col 74}{space 3} 7.474426
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 2.308885{col 33}{space 2} 5.396656{col 44}{space 1}    0.43{col 53}{space 3}0.669{col 61}{space 4} -8.27788{col 74}{space 3} 12.89565
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 1.084671{col 33}{space 2} 4.018027{col 44}{space 1}    0.27{col 53}{space 3}0.787{col 61}{space 4}  -6.7976{col 74}{space 3} 8.966943
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 10.36299{col 33}{space 2} 2.351476{col 44}{space 1}    4.41{col 53}{space 3}0.000{col 61}{space 4} 5.750032{col 74}{space 3} 14.97594
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount_sector
{txt}
{com}. 
. coefplot overhead_country overhead_sector , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  
{res}{txt}
{com}. 
. 
. ********************************************************
. *Figure A6: Country- and sector-focused staff--overhead*
. ********************************************************
. 
. coefplot amount_country amount_sector , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  
{res}{txt}
{com}. 
. 
. ******************************************
. *Figure A7: Results by IO: funding amount*
. ******************************************
. 
. reg overhead_clean i.country i.sector i.project i.own_area i.length i.source  if IO=="FAO", cluster(id) 

{txt}Linear regression                               Number of obs     = {res}       441
                                                {txt}F(6, 36)          =  {res}     0.97
                                                {txt}Prob > F          = {res}    0.4584
                                                {txt}R-squared         = {res}    0.0041
                                                {txt}Root MSE          =    {res} 20.045

{txt}{ralign 85:(Std. Err. adjusted for {res:37} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-1.149789{col 33}{space 2} .9492516{col 44}{space 1}   -1.21{col 53}{space 3}0.234{col 61}{space 4} -3.07496{col 74}{space 3} .7753827
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.696207{col 33}{space 2} 1.737149{col 44}{space 1}    0.98{col 53}{space 3}0.335{col 61}{space 4}-1.826895{col 74}{space 3} 5.219309
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -1.08045{col 33}{space 2} 2.060651{col 44}{space 1}   -0.52{col 53}{space 3}0.603{col 61}{space 4}-5.259644{col 74}{space 3} 3.098744
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7656069{col 33}{space 2} 2.266543{col 44}{space 1}    0.34{col 53}{space 3}0.737{col 61}{space 4}-3.831155{col 74}{space 3} 5.362369
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.4468994{col 33}{space 2} 1.112034{col 44}{space 1}   -0.40{col 53}{space 3}0.690{col 61}{space 4}-2.702209{col 74}{space 3}  1.80841
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.3015043{col 33}{space 2} 1.263841{col 44}{space 1}   -0.24{col 53}{space 3}0.813{col 61}{space 4}-2.864693{col 74}{space 3} 2.261684
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 15.95231{col 33}{space 2}  4.97729{col 44}{space 1}    3.21{col 53}{space 3}0.003{col 61}{space 4} 5.857902{col 74}{space 3} 26.04673
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source , atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       441
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.4535147 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.5464853 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5011338 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4988662 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.5011338 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.4988662 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4943311 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5056689 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4807256 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5192744 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5056689 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4943311 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 16.26553{col 33}{space 2} 3.523991{col 44}{space 1}    4.62{col 53}{space 3}0.000{col 61}{space 4} 9.118545{col 74}{space 3} 23.41252
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 15.11574{col 33}{space 2} 2.991284{col 44}{space 1}    5.05{col 53}{space 3}0.000{col 61}{space 4} 9.049137{col 74}{space 3} 21.18235
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 14.79101{col 33}{space 2} 2.756364{col 44}{space 1}    5.37{col 53}{space 3}0.000{col 61}{space 4} 9.200843{col 74}{space 3} 20.38117
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 16.48721{col 33}{space 2} 3.811033{col 44}{space 1}    4.33{col 53}{space 3}0.000{col 61}{space 4} 8.758081{col 74}{space 3} 24.21635
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 16.17619{col 33}{space 2} 3.789131{col 44}{space 1}    4.27{col 53}{space 3}0.000{col 61}{space 4} 8.491474{col 74}{space 3}  23.8609
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 15.09574{col 33}{space 2} 2.889458{col 44}{space 1}    5.22{col 53}{space 3}0.000{col 61}{space 4} 9.235647{col 74}{space 3} 20.95583
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 15.25004{col 33}{space 2} 3.782658{col 44}{space 1}    4.03{col 53}{space 3}0.000{col 61}{space 4} 7.578459{col 74}{space 3} 22.92163
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 16.01565{col 33}{space 2} 2.986281{col 44}{space 1}    5.36{col 53}{space 3}0.000{col 61}{space 4} 9.959194{col 74}{space 3} 22.07211
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 15.86925{col 33}{space 2} 3.601943{col 44}{space 1}    4.41{col 53}{space 3}0.000{col 61}{space 4} 8.564173{col 74}{space 3} 23.17433
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 15.42235{col 33}{space 2} 2.901047{col 44}{space 1}    5.32{col 53}{space 3}0.000{col 61}{space 4} 9.538756{col 74}{space 3} 21.30595
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 15.78623{col 33}{space 2} 3.142002{col 44}{space 1}    5.02{col 53}{space 3}0.000{col 61}{space 4} 9.413957{col 74}{space 3} 22.15851
{txt}Private foundation  {c |}{col 21}{res}{space 2} 15.48473{col 33}{space 2} 3.397393{col 44}{space 1}    4.56{col 53}{space 3}0.000{col 61}{space 4} 8.594494{col 74}{space 3} 22.37496
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead_FAO
{txt}
{com}. 
. reg overhead_clean i.country i.sector i.project i.own_area i.length i.source   if IO=="UNDP", cluster(id) 

{txt}Linear regression                               Number of obs     = {res}     1,261
                                                {txt}F(6, 95)          =  {res}     1.15
                                                {txt}Prob > F          = {res}    0.3418
                                                {txt}R-squared         = {res}    0.0026
                                                {txt}Root MSE          =    {res} 15.415

{txt}{ralign 85:(Std. Err. adjusted for {res:96} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-1.096552{col 33}{space 2} .5623143{col 44}{space 1}   -1.95{col 53}{space 3}0.054{col 61}{space 4}-2.212887{col 74}{space 3} .0197826
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1766485{col 33}{space 2} 1.011686{col 44}{space 1}   -0.17{col 53}{space 3}0.862{col 61}{space 4}-2.185098{col 74}{space 3} 1.831801
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.3131057{col 33}{space 2} .7718091{col 44}{space 1}   -0.41{col 53}{space 3}0.686{col 61}{space 4}-1.845341{col 74}{space 3} 1.219129
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.080447{col 33}{space 2} 1.118822{col 44}{space 1}   -0.07{col 53}{space 3}0.943{col 61}{space 4} -2.30159{col 74}{space 3} 2.140696
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.9547799{col 33}{space 2} .6096695{col 44}{space 1}   -1.57{col 53}{space 3}0.121{col 61}{space 4}-2.165127{col 74}{space 3}  .255567
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .2868273{col 33}{space 2} 1.179395{col 44}{space 1}    0.24{col 53}{space 3}0.808{col 61}{space 4}-2.054568{col 74}{space 3} 2.628223
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 14.10113{col 33}{space 2} 1.751451{col 44}{space 1}    8.05{col 53}{space 3}0.000{col 61}{space 4} 10.62406{col 74}{space 3}  17.5782
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source , atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,261
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.4956384 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.5043616 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5011895 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4988105 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4845361 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5154639 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 4}.479778 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 4}.520222 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4972244 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5027756 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5130849 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4869151 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  13.4694{col 33}{space 2} 1.474291{col 44}{space 1}    9.14{col 53}{space 3}0.000{col 61}{space 4} 10.54256{col 74}{space 3} 16.39623
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 12.37284{col 33}{space 2} 1.146831{col 44}{space 1}   10.79{col 53}{space 3}0.000{col 61}{space 4} 10.09609{col 74}{space 3} 14.64959
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.00445{col 33}{space 2} 1.510298{col 44}{space 1}    8.61{col 53}{space 3}0.000{col 61}{space 4} 10.00613{col 74}{space 3} 16.00277
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  12.8278{col 33}{space 2} 1.245872{col 44}{space 1}   10.30{col 53}{space 3}0.000{col 61}{space 4} 10.35443{col 74}{space 3} 15.30117
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.07773{col 33}{space 2}  1.32755{col 44}{space 1}    9.85{col 53}{space 3}0.000{col 61}{space 4} 10.44221{col 74}{space 3} 15.71325
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 12.76463{col 33}{space 2} 1.362157{col 44}{space 1}    9.37{col 53}{space 3}0.000{col 61}{space 4}  10.0604{col 74}{space 3} 15.46885
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 12.95819{col 33}{space 2} 1.356247{col 44}{space 1}    9.55{col 53}{space 3}0.000{col 61}{space 4}  10.2657{col 74}{space 3} 15.65068
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 12.87774{col 33}{space 2} 1.448506{col 44}{space 1}    8.89{col 53}{space 3}0.000{col 61}{space 4} 10.00209{col 74}{space 3} 15.75339
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 13.39638{col 33}{space 2} 1.364963{col 44}{space 1}    9.81{col 53}{space 3}0.000{col 61}{space 4} 10.68658{col 74}{space 3} 16.10617
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2}  12.4416{col 33}{space 2} 1.283393{col 44}{space 1}    9.69{col 53}{space 3}0.000{col 61}{space 4} 9.893738{col 74}{space 3} 14.98945
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 12.77668{col 33}{space 2} 1.394863{col 44}{space 1}    9.16{col 53}{space 3}0.000{col 61}{space 4} 10.00752{col 74}{space 3} 15.54583
{txt}Private foundation  {c |}{col 21}{res}{space 2}  13.0635{col 33}{space 2} 1.440819{col 44}{space 1}    9.07{col 53}{space 3}0.000{col 61}{space 4} 10.20312{col 74}{space 3} 15.92389
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead_UNDP
{txt}
{com}. 
. reg overhead_clean i.country i.sector i.project i.own_area i.length i.source   if IO=="UNICEF", cluster(id) 

{txt}Linear regression                               Number of obs     = {res}       673
                                                {txt}F(6, 52)          =  {res}     1.06
                                                {txt}Prob > F          = {res}    0.3994
                                                {txt}R-squared         = {res}    0.0045
                                                {txt}Root MSE          =    {res} 14.015

{txt}{ralign 85:(Std. Err. adjusted for {res:53} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .1911573{col 33}{space 2} 1.026319{col 44}{space 1}    0.19{col 53}{space 3}0.853{col 61}{space 4}-1.868302{col 74}{space 3} 2.250616
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.125213{col 33}{space 2} 1.440611{col 44}{space 1}    0.78{col 53}{space 3}0.438{col 61}{space 4}-1.765584{col 74}{space 3}  4.01601
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.047097{col 33}{space 2} .8135427{col 44}{space 1}    1.29{col 53}{space 3}0.204{col 61}{space 4}-.5853956{col 74}{space 3}  2.67959
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .4883134{col 33}{space 2} .8418876{col 44}{space 1}    0.58{col 53}{space 3}0.564{col 61}{space 4}-1.201058{col 74}{space 3} 2.177685
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0511747{col 33}{space 2} .9906361{col 44}{space 1}   -0.05{col 53}{space 3}0.959{col 61}{space 4}-2.039031{col 74}{space 3} 1.936682
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 1.054009{col 33}{space 2} 1.155282{col 44}{space 1}    0.91{col 53}{space 3}0.366{col 61}{space 4}-1.264234{col 74}{space 3} 3.372253
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 12.20576{col 33}{space 2} 1.705742{col 44}{space 1}    7.16{col 53}{space 3}0.000{col 61}{space 4} 8.782939{col 74}{space 3} 15.62858
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source , atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       673
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5111441 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4888559 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.4650817 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.5349183 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.5215453 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.4784547 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4799406 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5200594 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4754829 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5245171 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5200594 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4799406 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 14.04162{col 33}{space 2} 1.966336{col 44}{space 1}    7.14{col 53}{space 3}0.000{col 61}{space 4} 10.09588{col 74}{space 3} 17.98736
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.23278{col 33}{space 2} 1.843316{col 44}{space 1}    7.72{col 53}{space 3}0.000{col 61}{space 4} 10.53389{col 74}{space 3} 17.93166
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.53317{col 33}{space 2} 1.884908{col 44}{space 1}    7.18{col 53}{space 3}0.000{col 61}{space 4} 9.750826{col 74}{space 3} 17.31551
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.65838{col 33}{space 2} 2.045483{col 44}{space 1}    7.17{col 53}{space 3}0.000{col 61}{space 4} 10.55382{col 74}{space 3} 18.76294
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.63408{col 33}{space 2}  1.77043{col 44}{space 1}    7.70{col 53}{space 3}0.000{col 61}{space 4} 10.08145{col 74}{space 3} 17.18671
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.68118{col 33}{space 2} 1.995166{col 44}{space 1}    7.36{col 53}{space 3}0.000{col 61}{space 4} 10.67758{col 74}{space 3} 18.68477
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 13.88111{col 33}{space 2} 1.785572{col 44}{space 1}    7.77{col 53}{space 3}0.000{col 61}{space 4}  10.2981{col 74}{space 3} 17.46413
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 14.36943{col 33}{space 2} 1.971268{col 44}{space 1}    7.29{col 53}{space 3}0.000{col 61}{space 4} 10.41379{col 74}{space 3} 18.32507
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 14.16191{col 33}{space 2} 1.577895{col 44}{space 1}    8.98{col 53}{space 3}0.000{col 61}{space 4} 10.99563{col 74}{space 3} 17.32819
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 14.11073{col 33}{space 2} 2.154651{col 44}{space 1}    6.55{col 53}{space 3}0.000{col 61}{space 4}  9.78711{col 74}{space 3} 18.43436
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 13.62921{col 33}{space 2}  1.65979{col 44}{space 1}    8.21{col 53}{space 3}0.000{col 61}{space 4} 10.29859{col 74}{space 3} 16.95982
{txt}Private foundation  {c |}{col 21}{res}{space 2} 14.68321{col 33}{space 2} 2.176995{col 44}{space 1}    6.74{col 53}{space 3}0.000{col 61}{space 4} 10.31475{col 74}{space 3} 19.05167
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead_UNICEF
{txt}
{com}. 
. reg overhead_clean i.country i.sector i.project i.own_area i.length i.source   if IO=="UNFPA", cluster(id) 

{txt}Linear regression                               Number of obs     = {res}       247
                                                {txt}F(6, 18)          =  {res}     1.23
                                                {txt}Prob > F          = {res}    0.3361
                                                {txt}R-squared         = {res}    0.0241
                                                {txt}Root MSE          =    {res} 4.5937

{txt}{ralign 85:(Std. Err. adjusted for {res:19} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.8640173{col 33}{space 2} .9213825{col 44}{space 1}   -0.94{col 53}{space 3}0.361{col 61}{space 4} -2.79977{col 74}{space 3} 1.071735
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.3940518{col 33}{space 2} .4962111{col 44}{space 1}   -0.79{col 53}{space 3}0.437{col 61}{space 4}-1.436552{col 74}{space 3}  .648449
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .3243302{col 33}{space 2} .7249957{col 44}{space 1}    0.45{col 53}{space 3}0.660{col 61}{space 4}-1.198829{col 74}{space 3}  1.84749
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.6708143{col 33}{space 2} .5157418{col 44}{space 1}   -1.30{col 53}{space 3}0.210{col 61}{space 4}-1.754348{col 74}{space 3} .4127191
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .6131266{col 33}{space 2}  .737428{col 44}{space 1}    0.83{col 53}{space 3}0.417{col 61}{space 4}-.9361521{col 74}{space 3} 2.162405
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .2703535{col 33}{space 2} .5462647{col 44}{space 1}    0.49{col 53}{space 3}0.627{col 61}{space 4} -.877306{col 74}{space 3} 1.418013
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 11.21945{col 33}{space 2} 1.277705{col 44}{space 1}    8.78{col 53}{space 3}0.000{col 61}{space 4} 8.535096{col 74}{space 3} 13.90381
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source , atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       247
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 4}.465587 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 4}.534413 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5506073 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4493927 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.5222672 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.4777328 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.5263158 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.4736842 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4615385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5384615 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5020243 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4979757 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 11.34433{col 33}{space 2} 1.290229{col 44}{space 1}    8.79{col 53}{space 3}0.000{col 61}{space 4} 8.633663{col 74}{space 3}   14.055
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 10.48032{col 33}{space 2} .7191155{col 44}{space 1}   14.57{col 53}{space 3}0.000{col 61}{space 4}  8.96951{col 74}{space 3} 11.99112
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 11.05968{col 33}{space 2} .8886646{col 44}{space 1}   12.45{col 53}{space 3}0.000{col 61}{space 4}  9.19266{col 74}{space 3} 12.92669
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 10.66562{col 33}{space 2}  1.01862{col 44}{space 1}   10.47{col 53}{space 3}0.000{col 61}{space 4} 8.525581{col 74}{space 3} 12.80567
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 10.72765{col 33}{space 2} .9604538{col 44}{space 1}   11.17{col 53}{space 3}0.000{col 61}{space 4} 8.709809{col 74}{space 3} 12.74549
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 11.05198{col 33}{space 2} 1.012297{col 44}{space 1}   10.92{col 53}{space 3}0.000{col 61}{space 4} 8.925222{col 74}{space 3} 13.17873
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 11.20035{col 33}{space 2} 1.013363{col 44}{space 1}   11.05{col 53}{space 3}0.000{col 61}{space 4} 9.071348{col 74}{space 3} 13.32934
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 10.52953{col 33}{space 2} .8790428{col 44}{space 1}   11.98{col 53}{space 3}0.000{col 61}{space 4} 8.682731{col 74}{space 3} 12.37633
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 10.55245{col 33}{space 2} .8550874{col 44}{space 1}   12.34{col 53}{space 3}0.000{col 61}{space 4} 8.755974{col 74}{space 3} 12.34892
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 11.16557{col 33}{space 2} 1.088398{col 44}{space 1}   10.26{col 53}{space 3}0.000{col 61}{space 4} 8.878933{col 74}{space 3} 13.45221
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 10.74796{col 33}{space 2} .8680007{col 44}{space 1}   12.38{col 53}{space 3}0.000{col 61}{space 4}  8.92436{col 74}{space 3} 12.57156
{txt}Private foundation  {c |}{col 21}{res}{space 2} 11.01832{col 33}{space 2} 1.038008{col 44}{space 1}   10.61{col 53}{space 3}0.000{col 61}{space 4} 8.837542{col 74}{space 3} 13.19909
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead_UNFPA
{txt}
{com}. 
. reg amount_clean i.country i.sector i.project i.own_area i.length i.source  if IO=="FAO", cluster(id) 

{txt}Linear regression                               Number of obs     = {res}       435
                                                {txt}F(6, 36)          =  {res}     1.02
                                                {txt}Prob > F          = {res}    0.4261
                                                {txt}R-squared         = {res}    0.0194
                                                {txt}Root MSE          =    {res} 9.9663

{txt}{ralign 85:(Std. Err. adjusted for {res:37} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .431288{col 33}{space 2} .8204497{col 44}{space 1}    0.53{col 53}{space 3}0.602{col 61}{space 4}-1.232661{col 74}{space 3} 2.095237
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1343412{col 33}{space 2} .6786362{col 44}{space 1}   -0.20{col 53}{space 3}0.844{col 61}{space 4}-1.510679{col 74}{space 3} 1.241997
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1452886{col 33}{space 2} .8439868{col 44}{space 1}   -0.17{col 53}{space 3}0.864{col 61}{space 4}-1.856973{col 74}{space 3} 1.566396
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.866491{col 33}{space 2} 1.297983{col 44}{space 1}   -0.67{col 53}{space 3}0.509{col 61}{space 4}-3.498923{col 74}{space 3} 1.765941
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 2.165041{col 33}{space 2} 1.095988{col 44}{space 1}    1.98{col 53}{space 3}0.056{col 61}{space 4}-.0577249{col 74}{space 3} 4.387808
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 1.300955{col 33}{space 2} 1.078211{col 44}{space 1}    1.21{col 53}{space 3}0.235{col 61}{space 4}-.8857573{col 74}{space 3} 3.487667
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  4.23965{col 33}{space 2} 1.654218{col 44}{space 1}    2.56{col 53}{space 3}0.015{col 61}{space 4} .8847408{col 74}{space 3}  7.59456
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source , atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       435
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.4735632 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.5264368 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.4988506 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.5011494 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.5011494 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.4988506 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4873563 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5126437 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4804598 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5195402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5149425 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4850575 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 5.411511{col 33}{space 2} 1.254782{col 44}{space 1}    4.31{col 53}{space 3}0.000{col 61}{space 4} 2.866694{col 74}{space 3} 7.956328
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 5.842799{col 33}{space 2} 1.315442{col 44}{space 1}    4.44{col 53}{space 3}0.000{col 61}{space 4} 3.174959{col 74}{space 3} 8.510639
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 5.705882{col 33}{space 2} 1.245788{col 44}{space 1}    4.58{col 53}{space 3}0.000{col 61}{space 4} 3.179306{col 74}{space 3} 8.232458
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 5.571541{col 33}{space 2} 1.286673{col 44}{space 1}    4.33{col 53}{space 3}0.000{col 61}{space 4} 2.962046{col 74}{space 3} 8.181035
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 5.711034{col 33}{space 2}  1.39623{col 44}{space 1}    4.09{col 53}{space 3}0.000{col 61}{space 4} 2.879348{col 74}{space 3}  8.54272
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 5.565746{col 33}{space 2} 1.175958{col 44}{space 1}    4.73{col 53}{space 3}0.000{col 61}{space 4} 3.180793{col 74}{space 3} 7.950698
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 6.082758{col 33}{space 2} 1.552567{col 44}{space 1}    3.92{col 53}{space 3}0.000{col 61}{space 4} 2.934005{col 74}{space 3} 9.231511
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 5.216267{col 33}{space 2} 1.197314{col 44}{space 1}    4.36{col 53}{space 3}0.000{col 61}{space 4} 2.788001{col 74}{space 3} 7.644533
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 4.513731{col 33}{space 2} 1.169959{col 44}{space 1}    3.86{col 53}{space 3}0.000{col 61}{space 4} 2.140943{col 74}{space 3} 6.886518
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 6.678772{col 33}{space 2} 1.475391{col 44}{space 1}    4.53{col 53}{space 3}0.000{col 61}{space 4}  3.68654{col 74}{space 3} 9.671004
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 5.007519{col 33}{space 2} 1.309259{col 44}{space 1}    3.82{col 53}{space 3}0.001{col 61}{space 4} 2.352219{col 74}{space 3} 7.662819
{txt}Private foundation  {c |}{col 21}{res}{space 2} 6.308474{col 33}{space 2} 1.359439{col 44}{space 1}    4.64{col 53}{space 3}0.000{col 61}{space 4} 3.551403{col 74}{space 3} 9.065545
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount_FAO
{txt}
{com}. 
. reg amount_clean i.country i.sector i.project i.own_area i.length i.source   if IO=="UNDP", cluster(id) 

{txt}Linear regression                               Number of obs     = {res}     1,199
                                                {txt}F(6, 93)          =  {res}     1.95
                                                {txt}Prob > F          = {res}    0.0802
                                                {txt}R-squared         = {res}    0.0128
                                                {txt}Root MSE          =    {res} 19.009

{txt}{ralign 85:(Std. Err. adjusted for {res:94} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 2.361904{col 33}{space 2}  2.13326{col 44}{space 1}    1.11{col 53}{space 3}0.271{col 61}{space 4}-1.874328{col 74}{space 3} 6.598136
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 2.144134{col 33}{space 2} 1.504667{col 44}{space 1}    1.42{col 53}{space 3}0.158{col 61}{space 4}-.8438378{col 74}{space 3} 5.132105
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-1.060892{col 33}{space 2} .8134085{col 44}{space 1}   -1.30{col 53}{space 3}0.195{col 61}{space 4} -2.67616{col 74}{space 3} .5543756
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.5757094{col 33}{space 2} .9213217{col 44}{space 1}   -0.62{col 53}{space 3}0.534{col 61}{space 4}-2.405272{col 74}{space 3} 1.253853
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 2.510539{col 33}{space 2} 1.026582{col 44}{space 1}    2.45{col 53}{space 3}0.016{col 61}{space 4} .4719514{col 74}{space 3} 4.549127
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.8250822{col 33}{space 2} .6650161{col 44}{space 1}   -1.24{col 53}{space 3}0.218{col 61}{space 4}-2.145672{col 74}{space 3} .4955079
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 3.087737{col 33}{space 2}   1.4572{col 44}{space 1}    2.12{col 53}{space 3}0.037{col 61}{space 4} .1940268{col 74}{space 3} 5.981447
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source , atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,199
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 4}.498749 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 4}.501251 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 4}.501251 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 4}.498749 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4845705 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5154295 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4820684 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5179316 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4904087 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5095913 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5120934 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4879066 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 4.188914{col 33}{space 2} .7268378{col 44}{space 1}    5.76{col 53}{space 3}0.000{col 61}{space 4} 2.745558{col 74}{space 3}  5.63227
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 6.550818{col 33}{space 2} 2.524136{col 44}{space 1}    2.60{col 53}{space 3}0.011{col 61}{space 4} 1.538385{col 74}{space 3} 11.56325
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 4.303437{col 33}{space 2} .9083385{col 44}{space 1}    4.74{col 53}{space 3}0.000{col 61}{space 4} 2.499656{col 74}{space 3} 6.107217
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  6.44757{col 33}{space 2} 2.226219{col 44}{space 1}    2.90{col 53}{space 3}0.005{col 61}{space 4} 2.026741{col 74}{space 3}  10.8684
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 5.919636{col 33}{space 2} 1.791495{col 44}{space 1}    3.30{col 53}{space 3}0.001{col 61}{space 4} 2.362083{col 74}{space 3} 9.477189
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 4.858744{col 33}{space 2} 1.342845{col 44}{space 1}    3.62{col 53}{space 3}0.000{col 61}{space 4}  2.19212{col 74}{space 3} 7.525368
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 5.670999{col 33}{space 2} 1.410343{col 44}{space 1}    4.02{col 53}{space 3}0.000{col 61}{space 4} 2.870338{col 74}{space 3}  8.47166
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  5.09529{col 33}{space 2} 1.742425{col 44}{space 1}    2.92{col 53}{space 3}0.004{col 61}{space 4} 1.635179{col 74}{space 3} 8.555401
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 4.093472{col 33}{space 2} 1.151897{col 44}{space 1}    3.55{col 53}{space 3}0.001{col 61}{space 4} 1.806032{col 74}{space 3} 6.380912
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 6.604011{col 33}{space 2} 1.947148{col 44}{space 1}    3.39{col 53}{space 3}0.001{col 61}{space 4} 2.737361{col 74}{space 3} 10.47066
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 5.775384{col 33}{space 2} 1.667797{col 44}{space 1}    3.46{col 53}{space 3}0.001{col 61}{space 4} 2.463469{col 74}{space 3} 9.087299
{txt}Private foundation  {c |}{col 21}{res}{space 2} 4.950302{col 33}{space 2} 1.435549{col 44}{space 1}    3.45{col 53}{space 3}0.001{col 61}{space 4} 2.099585{col 74}{space 3} 7.801019
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount_UNDP
{txt}
{com}. 
. reg amount_clean i.country i.sector i.project i.own_area i.length i.source   if IO=="UNICEF", cluster(id) 

{txt}Linear regression                               Number of obs     = {res}       663
                                                {txt}F(6, 51)          =  {res}     0.97
                                                {txt}Prob > F          = {res}    0.4556
                                                {txt}R-squared         = {res}    0.0067
                                                {txt}Root MSE          =    {res} 60.197

{txt}{ralign 85:(Std. Err. adjusted for {res:52} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.984544{col 33}{space 2} 6.118894{col 44}{space 1}    0.32{col 53}{space 3}0.747{col 61}{space 4}-10.29965{col 74}{space 3} 14.26874
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 6.646675{col 33}{space 2} 5.939562{col 44}{space 1}    1.12{col 53}{space 3}0.268{col 61}{space 4}-5.277492{col 74}{space 3} 18.57084
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.772066{col 33}{space 2} 7.025935{col 44}{space 1}    0.25{col 53}{space 3}0.802{col 61}{space 4}-12.33309{col 74}{space 3} 15.87722
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 2.627822{col 33}{space 2} 7.849031{col 44}{space 1}    0.33{col 53}{space 3}0.739{col 61}{space 4}-13.12977{col 74}{space 3} 18.38541
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.8268304{col 33}{space 2} 3.350666{col 44}{space 1}   -0.25{col 53}{space 3}0.806{col 61}{space 4}-7.553573{col 74}{space 3} 5.899912
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} 6.754373{col 33}{space 2} 6.869985{col 44}{space 1}    0.98{col 53}{space 3}0.330{col 61}{space 4}-7.037697{col 74}{space 3} 20.54644
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-.5110248{col 33}{space 2} 13.68442{col 44}{space 1}   -0.04{col 53}{space 3}0.970{col 61}{space 4}-27.98365{col 74}{space 3}  26.9616
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source , atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       663
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5082956 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4917044 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.4720965 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.5279035 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 4}.520362 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 4}.479638 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4781297 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5218703 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4766214 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5233786 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5158371 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4841629 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.056582{col 33}{space 2} 3.402135{col 44}{space 1}    2.37{col 53}{space 3}0.022{col 61}{space 4}  1.22651{col 74}{space 3} 14.88665
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 10.04113{col 33}{space 2} 6.122573{col 44}{space 1}    1.64{col 53}{space 3}0.107{col 61}{space 4}-2.250451{col 74}{space 3}  22.3327
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 5.523588{col 33}{space 2} 1.915105{col 44}{space 1}    2.88{col 53}{space 3}0.006{col 61}{space 4} 1.678855{col 74}{space 3} 9.368321
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 12.17026{col 33}{space 2} 6.458243{col 44}{space 1}    1.88{col 53}{space 3}0.065{col 61}{space 4}-.7952006{col 74}{space 3} 25.13573
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 8.182441{col 33}{space 2} 3.344597{col 44}{space 1}    2.45{col 53}{space 3}0.018{col 61}{space 4} 1.467882{col 74}{space 3}   14.897
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 9.954507{col 33}{space 2} 6.688508{col 44}{space 1}    1.49{col 53}{space 3}0.143{col 61}{space 4}-3.473233{col 74}{space 3} 23.38225
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 7.661009{col 33}{space 2} 3.708131{col 44}{space 1}    2.07{col 53}{space 3}0.044{col 61}{space 4} .2166256{col 74}{space 3} 15.10539
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 10.28883{col 33}{space 2} 6.746857{col 44}{space 1}    1.52{col 53}{space 3}0.133{col 61}{space 4} -3.25605{col 74}{space 3} 23.83371
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 9.465137{col 33}{space 2} 5.002208{col 44}{space 1}    1.89{col 53}{space 3}0.064{col 61}{space 4}-.5772144{col 74}{space 3} 19.50749
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 8.638306{col 33}{space 2} 3.338158{col 44}{space 1}    2.59{col 53}{space 3}0.013{col 61}{space 4} 1.936674{col 74}{space 3} 15.33994
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 5.762174{col 33}{space 2} 2.169319{col 44}{space 1}    2.66{col 53}{space 3}0.011{col 61}{space 4} 1.407085{col 74}{space 3} 10.11726
{txt}Private foundation  {c |}{col 21}{res}{space 2} 12.51655{col 33}{space 2} 7.087014{col 44}{space 1}    1.77{col 53}{space 3}0.083{col 61}{space 4}-1.711227{col 74}{space 3} 26.74432
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount_UNICEF
{txt}
{com}. 
. reg amount_clean i.country i.sector i.project i.own_area i.length i.source  if IO=="UNFPA", cluster(id) 

{txt}Linear regression                               Number of obs     = {res}       234
                                                {txt}F(6, 18)          =  {res}     2.39
                                                {txt}Prob > F          = {res}    0.0710
                                                {txt}R-squared         = {res}    0.0934
                                                {txt}Root MSE          =    {res} 3.8887

{txt}{ralign 85:(Std. Err. adjusted for {res:19} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-1.301014{col 33}{space 2} 1.143658{col 44}{space 1}   -1.14{col 53}{space 3}0.270{col 61}{space 4}-3.703751{col 74}{space 3} 1.101723
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .8721429{col 33}{space 2} .8163405{col 44}{space 1}    1.07{col 53}{space 3}0.299{col 61}{space 4}-.8429249{col 74}{space 3} 2.587211
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.3115055{col 33}{space 2} .3046167{col 44}{space 1}   -1.02{col 53}{space 3}0.320{col 61}{space 4}-.9514815{col 74}{space 3} .3284705
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.253988{col 33}{space 2}  .274737{col 44}{space 1}   -0.92{col 53}{space 3}0.367{col 61}{space 4}-.8311891{col 74}{space 3}  .323213
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.682222{col 33}{space 2} .5715158{col 44}{space 1}    2.94{col 53}{space 3}0.009{col 61}{space 4}  .481512{col 74}{space 3} 2.882932
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .4339213{col 33}{space 2} .7065004{col 44}{space 1}    0.61{col 53}{space 3}0.547{col 61}{space 4}-1.050381{col 74}{space 3} 1.918223
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 2.163264{col 33}{space 2} .5173969{col 44}{space 1}    4.18{col 53}{space 3}0.001{col 61}{space 4} 1.076253{col 74}{space 3} 3.250274
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins country sector project own_area length source, atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       234
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 4}.457265 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 4}.542735 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5555556 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4444444 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 4}.534188 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 4}.465812 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 4}.534188 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 4}.465812 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4615385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5384615 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 4}.508547 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 4}.491453 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 3.406533{col 33}{space 2} 1.227111{col 44}{space 1}    2.78{col 53}{space 3}0.012{col 61}{space 4} .8284689{col 74}{space 3} 5.984597
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 2.105519{col 33}{space 2} .3608175{col 44}{space 1}    5.84{col 53}{space 3}0.000{col 61}{space 4}  1.34747{col 74}{space 3} 2.863569
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 2.312808{col 33}{space 2} .4126662{col 44}{space 1}    5.60{col 53}{space 3}0.000{col 61}{space 4} 1.445829{col 74}{space 3} 3.179788
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 3.184951{col 33}{space 2} 1.065472{col 44}{space 1}    2.99{col 53}{space 3}0.008{col 61}{space 4} .9464773{col 74}{space 3} 5.423425
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  2.84553{col 33}{space 2}  .735593{col 44}{space 1}    3.87{col 53}{space 3}0.001{col 61}{space 4} 1.300107{col 74}{space 3} 4.390954
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 2.534025{col 33}{space 2} .6017113{col 44}{space 1}    4.21{col 53}{space 3}0.001{col 61}{space 4} 1.269876{col 74}{space 3} 3.798173
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 2.818738{col 33}{space 2} .6582134{col 44}{space 1}    4.28{col 53}{space 3}0.000{col 61}{space 4} 1.435883{col 74}{space 3} 4.201593
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  2.56475{col 33}{space 2} .6902846{col 44}{space 1}    3.72{col 53}{space 3}0.002{col 61}{space 4} 1.114516{col 74}{space 3} 4.014984
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 1.794615{col 33}{space 2} .3994701{col 44}{space 1}    4.49{col 53}{space 3}0.000{col 61}{space 4} .9553598{col 74}{space 3} 2.633871
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 3.476838{col 33}{space 2} .9061471{col 44}{space 1}    3.84{col 53}{space 3}0.001{col 61}{space 4} 1.573093{col 74}{space 3} 5.380582
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 2.487175{col 33}{space 2} .4245058{col 44}{space 1}    5.86{col 53}{space 3}0.000{col 61}{space 4} 1.595322{col 74}{space 3} 3.379029
{txt}Private foundation  {c |}{col 21}{res}{space 2} 2.921097{col 33}{space 2} .9755501{col 44}{space 1}    2.99{col 53}{space 3}0.008{col 61}{space 4} .8715421{col 74}{space 3} 4.970651
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount_UNFPA
{txt}
{com}. 
. coefplot amount_FAO amount_UNDP amount_UNICEF amount_UNFPA, xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  
{res}{txt}
{com}. 
. 
. ************************************
. *Figure A8: Results by IO--overhead*
. ************************************
. 
. coefplot overhead_FAO overhead_UNDP overhead_UNICEF overhead_UNFPA, xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  
{res}{txt}
{com}. 
. **********************************
. *Figure A9: Distribution overhead*
. **********************************
. 
. hist overhead_clean, scheme(plotplainblind)
{txt}(bin={res}35{txt}, start={res}0{txt}, width={res}2.8571429{txt})
{res}{txt}
{com}. 
. *********************************
. *Figure A10: Distribution amount*
. *********************************
. 
. hist amount_clean, scheme(plotplainblind)
{txt}(bin={res}35{txt}, start={res}0{txt}, width={res}27.714286{txt})
{res}{txt}
{com}. 
. ********************************
. *Figure A11: Poisson regression*
. ********************************
. 
. poisson overhead_clean i.country i.sector i.project i.own_area i.length i.source  i.io_fe , cluster(id) 
{txt}note: you are responsible for interpretation of noncount dep. variable
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-28107.329}  
Iteration 1:{space 3}log pseudolikelihood = {res: -28107.31}  
Iteration 2:{space 3}log pseudolikelihood = {res: -28107.31}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}     3,517
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     79.44
{txt}Log pseudolikelihood = {res} -28107.31{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{ralign 85:(Std. Err. adjusted for {res:275} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0117902{col 33}{space 2} .0327787{col 44}{space 1}   -0.36{col 53}{space 3}0.719{col 61}{space 4}-.0760352{col 74}{space 3} .0524549
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0495462{col 33}{space 2} .0436461{col 44}{space 1}    1.14{col 53}{space 3}0.256{col 61}{space 4}-.0359985{col 74}{space 3} .1350909
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0164167{col 33}{space 2} .0341366{col 44}{space 1}   -0.48{col 53}{space 3}0.631{col 61}{space 4}-.0833232{col 74}{space 3} .0504897
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .000101{col 33}{space 2} .0414817{col 44}{space 1}    0.00{col 53}{space 3}0.998{col 61}{space 4}-.0812015{col 74}{space 3} .0814035
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .0260421{col 33}{space 2} .0316434{col 44}{space 1}    0.82{col 53}{space 3}0.411{col 61}{space 4}-.0359779{col 74}{space 3} .0880621
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.0548953{col 33}{space 2} .0426768{col 44}{space 1}   -1.29{col 53}{space 3}0.198{col 61}{space 4}-.1385404{col 74}{space 3} .0287498
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.4583259{col 33}{space 2} .2043582{col 44}{space 1}   -2.24{col 53}{space 3}0.025{col 61}{space 4}-.8588605{col 74}{space 3}-.0577912
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .4031522{col 33}{space 2} .2333225{col 44}{space 1}    1.73{col 53}{space 3}0.084{col 61}{space 4}-.0541515{col 74}{space 3} .8604559
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.1914386{col 33}{space 2} .2249707{col 44}{space 1}   -0.85{col 53}{space 3}0.395{col 61}{space 4}-.6323731{col 74}{space 3} .2494959
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.2056264{col 33}{space 2} .2490453{col 44}{space 1}   -0.83{col 53}{space 3}0.409{col 61}{space 4}-.6937462{col 74}{space 3} .2824934
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.3610001{col 33}{space 2} .2186317{col 44}{space 1}   -1.65{col 53}{space 3}0.099{col 61}{space 4}-.7895104{col 74}{space 3} .0675102
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.1048761{col 33}{space 2} .2398055{col 44}{space 1}   -0.44{col 53}{space 3}0.662{col 61}{space 4}-.5748863{col 74}{space 3}  .365134
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.752398{col 33}{space 2} .2147434{col 44}{space 1}   12.82{col 53}{space 3}0.000{col 61}{space 4} 2.331508{col 74}{space 3} 3.173287
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source io_fe, atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,517
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.4975832 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.5024168 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.4987205 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.5012795 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.5001422 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.4998578 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4862098 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5137902 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4901905 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5098095 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5115155 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4884845 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 4}.125391 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 4}.004265 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2263293 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3585442 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 4}.023884 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0702303 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1913563 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 15.26953{col 33}{space 2} .9486188{col 44}{space 1}   16.10{col 53}{space 3}0.000{col 61}{space 4} 13.41027{col 74}{space 3} 17.12879
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 15.09055{col 33}{space 2} .8521723{col 44}{space 1}   17.71{col 53}{space 3}0.000{col 61}{space 4} 13.42033{col 74}{space 3} 16.76078
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 14.80699{col 33}{space 2} .9179631{col 44}{space 1}   16.13{col 53}{space 3}0.000{col 61}{space 4} 13.00781{col 74}{space 3} 16.60616
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 15.55909{col 33}{space 2} .9358294{col 44}{space 1}   16.63{col 53}{space 3}0.000{col 61}{space 4}  13.7249{col 74}{space 3} 17.39329
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 15.30442{col 33}{space 2}  .939708{col 44}{space 1}   16.29{col 53}{space 3}0.000{col 61}{space 4} 13.46263{col 74}{space 3} 17.14621
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 15.05522{col 33}{space 2} .8675281{col 44}{space 1}   17.35{col 53}{space 3}0.000{col 61}{space 4}  13.3549{col 74}{space 3} 16.75555
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 15.17856{col 33}{space 2} .9169071{col 44}{space 1}   16.55{col 53}{space 3}0.000{col 61}{space 4} 13.38145{col 74}{space 3} 16.97566
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 15.18009{col 33}{space 2} .9254502{col 44}{space 1}   16.40{col 53}{space 3}0.000{col 61}{space 4} 13.36624{col 74}{space 3} 16.99394
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 14.97915{col 33}{space 2} .8898913{col 44}{space 1}   16.83{col 53}{space 3}0.000{col 61}{space 4} 13.23499{col 74}{space 3}  16.7233
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 15.37436{col 33}{space 2} .9069603{col 44}{space 1}   16.95{col 53}{space 3}0.000{col 61}{space 4} 13.59675{col 74}{space 3} 17.15197
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 15.59189{col 33}{space 2} .9273038{col 44}{space 1}   16.81{col 53}{space 3}0.000{col 61}{space 4} 13.77441{col 74}{space 3} 17.40937
{txt}Private foundation  {c |}{col 21}{res}{space 2} 14.75904{col 33}{space 2} .9204219{col 44}{space 1}   16.04{col 53}{space 3}0.000{col 61}{space 4} 12.95505{col 74}{space 3} 16.56303
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 15.63665{col 33}{space 2} 3.159866{col 44}{space 1}    4.95{col 53}{space 3}0.000{col 61}{space 4} 9.443426{col 74}{space 3} 21.82987
{txt}{space 17}2  {c |}{col 21}{res}{space 2}   9.8877{col 33}{space 2} .1315044{col 44}{space 1}   75.19{col 53}{space 3}0.000{col 61}{space 4} 9.629956{col 74}{space 3} 10.14544
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 23.40079{col 33}{space 2} 2.712368{col 44}{space 1}    8.63{col 53}{space 3}0.000{col 61}{space 4} 18.08464{col 74}{space 3} 28.71693
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 12.91228{col 33}{space 2} 1.285016{col 44}{space 1}   10.05{col 53}{space 3}0.000{col 61}{space 4} 10.39369{col 74}{space 3} 15.43087
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 12.73038{col 33}{space 2} 1.874197{col 44}{space 1}    6.79{col 53}{space 3}0.000{col 61}{space 4} 9.057018{col 74}{space 3} 16.40374
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 10.89841{col 33}{space 2} .9162029{col 44}{space 1}   11.90{col 53}{space 3}0.000{col 61}{space 4}  9.10269{col 74}{space 3} 12.69414
{txt}{space 17}7  {c |}{col 21}{res}{space 2}  14.0798{col 33}{space 2} 1.810697{col 44}{space 1}    7.78{col 53}{space 3}0.000{col 61}{space 4}  10.5309{col 74}{space 3}  17.6287
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo Amount_pois1
{txt}
{com}. 
. poisson amount_clean i.country i.sector i.project i.own_area i.length i.source  i.io_fe , cluster(id) 
{txt}note: you are responsible for interpretation of noncount dep. variable
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-50001.291}  
Iteration 1:{space 3}log pseudolikelihood = {res:-50000.431}  
Iteration 2:{space 3}log pseudolikelihood = {res: -50000.43}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}     3,421
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     79.28
{txt}Log pseudolikelihood = {res} -50000.43{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{ralign 85:(Std. Err. adjusted for {res:273} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}   .02643{col 33}{space 2} .2308768{col 44}{space 1}    0.11{col 53}{space 3}0.909{col 61}{space 4}-.4260801{col 74}{space 3} .4789402
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .2083721{col 33}{space 2} .1783934{col 44}{space 1}    1.17{col 53}{space 3}0.243{col 61}{space 4}-.1412725{col 74}{space 3} .5580166
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0245802{col 33}{space 2} .1817926{col 44}{space 1}   -0.14{col 53}{space 3}0.892{col 61}{space 4}-.3808871{col 74}{space 3} .3317267
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.011194{col 33}{space 2} .1960741{col 44}{space 1}   -0.06{col 53}{space 3}0.954{col 61}{space 4}-.3954923{col 74}{space 3} .3731042
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .1831048{col 33}{space 2} .1231144{col 44}{space 1}    1.49{col 53}{space 3}0.137{col 61}{space 4} -.058195{col 74}{space 3} .4244046
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .2819156{col 33}{space 2} .1557896{col 44}{space 1}    1.81{col 53}{space 3}0.070{col 61}{space 4}-.0234264{col 74}{space 3} .5872577
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.7556292{col 33}{space 2} .9885506{col 44}{space 1}   -0.76{col 53}{space 3}0.445{col 61}{space 4}-2.693153{col 74}{space 3} 1.181894
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .9117042{col 33}{space 2}  .384623{col 44}{space 1}    2.37{col 53}{space 3}0.018{col 61}{space 4} .1578569{col 74}{space 3} 1.665552
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0445986{col 33}{space 2} .3575312{col 44}{space 1}   -0.12{col 53}{space 3}0.901{col 61}{space 4}-.7453469{col 74}{space 3} .6561497
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.7603485{col 33}{space 2} .3237899{col 44}{space 1}   -2.35{col 53}{space 3}0.019{col 61}{space 4}-1.394965{col 74}{space 3}-.1257321
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.7305664{col 33}{space 2} .3215912{col 44}{space 1}   -2.27{col 53}{space 3}0.023{col 61}{space 4}-1.360874{col 74}{space 3}-.1002591
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .4667579{col 33}{space 2} .4764922{col 44}{space 1}    0.98{col 53}{space 3}0.327{col 61}{space 4}-.4671497{col 74}{space 3} 1.400666
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 1.376868{col 33}{space 2} .4773919{col 44}{space 1}    2.88{col 53}{space 3}0.004{col 61}{space 4} .4411969{col 74}{space 3} 2.312539
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source io_fe, atmeans force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,421
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5001462 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4998538 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5001462 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4998538 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4995615 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5004385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4872844 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5127156 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4875767 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5124233 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5115463 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4884537 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1271558 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0055539 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2285881 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3504823 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0260158 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0684011 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 4}.193803 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 6.711327{col 33}{space 2} 1.209878{col 44}{space 1}    5.55{col 53}{space 3}0.000{col 61}{space 4} 4.340009{col 74}{space 3} 9.082645
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 6.891072{col 33}{space 2} 1.362013{col 44}{space 1}    5.06{col 53}{space 3}0.000{col 61}{space 4} 4.221575{col 74}{space 3} 9.560569
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 6.127901{col 33}{space 2} 1.016084{col 44}{space 1}    6.03{col 53}{space 3}0.000{col 61}{space 4} 4.136413{col 74}{space 3} 8.119389
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  7.54756{col 33}{space 2} 1.377917{col 44}{space 1}    5.48{col 53}{space 3}0.000{col 61}{space 4} 4.846892{col 74}{space 3} 10.24823
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 6.884749{col 33}{space 2} 1.149097{col 44}{space 1}    5.99{col 53}{space 3}0.000{col 61}{space 4}  4.63256{col 74}{space 3} 9.136938
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 6.717584{col 33}{space 2} 1.230839{col 44}{space 1}    5.46{col 53}{space 3}0.000{col 61}{space 4} 4.305183{col 74}{space 3} 9.129985
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 6.839722{col 33}{space 2}  1.06128{col 44}{space 1}    6.44{col 53}{space 3}0.000{col 61}{space 4} 4.759652{col 74}{space 3} 8.919793
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 6.763586{col 33}{space 2} 1.346753{col 44}{space 1}    5.02{col 53}{space 3}0.000{col 61}{space 4} 4.123998{col 74}{space 3} 9.403173
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2}  6.19152{col 33}{space 2} 1.098268{col 44}{space 1}    5.64{col 53}{space 3}0.000{col 61}{space 4} 4.038955{col 74}{space 3} 8.344085
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 7.435646{col 33}{space 2} 1.084495{col 44}{space 1}    6.86{col 53}{space 3}0.000{col 61}{space 4} 5.310074{col 74}{space 3} 9.561218
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 5.925737{col 33}{space 2} .9013229{col 44}{space 1}    6.57{col 53}{space 3}0.000{col 61}{space 4} 4.159177{col 74}{space 3} 7.692298
{txt}Private foundation  {c |}{col 21}{res}{space 2} 7.855553{col 33}{space 2}  1.45185{col 44}{space 1}    5.41{col 53}{space 3}0.000{col 61}{space 4} 5.009979{col 74}{space 3} 10.70113
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 5.516393{col 33}{space 2} 1.188192{col 44}{space 1}    4.64{col 53}{space 3}0.000{col 61}{space 4}  3.18758{col 74}{space 3} 7.845207
{txt}{space 17}2  {c |}{col 21}{res}{space 2} 2.591133{col 33}{space 2} 2.502037{col 44}{space 1}    1.04{col 53}{space 3}0.300{col 61}{space 4}-2.312769{col 74}{space 3} 7.495034
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 13.72788{col 33}{space 2} 4.516675{col 44}{space 1}    3.04{col 53}{space 3}0.002{col 61}{space 4} 4.875356{col 74}{space 3}  22.5804
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 5.275775{col 33}{space 2} 1.490741{col 44}{space 1}    3.54{col 53}{space 3}0.000{col 61}{space 4} 2.353977{col 74}{space 3} 8.197574
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 2.578933{col 33}{space 2} .6308872{col 44}{space 1}    4.09{col 53}{space 3}0.000{col 61}{space 4} 1.342417{col 74}{space 3} 3.815449
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 2.656894{col 33}{space 2} .6345824{col 44}{space 1}    4.19{col 53}{space 3}0.000{col 61}{space 4} 1.413136{col 74}{space 3} 3.900653
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 8.797628{col 33}{space 2} 3.643213{col 44}{space 1}    2.41{col 53}{space 3}0.016{col 61}{space 4} 1.657061{col 74}{space 3}  15.9382
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo Overhead_pois1
{txt}
{com}. 
. coefplot Amount_pois1, xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(Amount_pois1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. coefplot Overhead_pois1, xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(Overhead_pois1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. graph combine Amount_pois1 Overhead_pois1, scheme(plotplainblind) 
{res}{txt}
{com}. 
. *******************************************
. *Figure A12: Distribution--overheads (log)*
. *******************************************
. 
. hist log_overhead, scheme(plotplainblind)
{txt}(bin={res}35{txt}, start={res}0{txt}, width={res}.15138121{txt})
{res}{txt}
{com}. 
. ****************************************
. *Figure A13: Distribution--amount (log)*
. ****************************************
. 
. hist log_amount, scheme(plotplainblind)
{txt}(bin={res}35{txt}, start={res}0{txt}, width={res}.21629839{txt})
{res}{txt}
{com}. 
. ************************
. *Figure A14: Logged DVs*
. ************************
. 
. *overhead
. cmp setup
{res}{txt}$cmp_out      = {res}0
{txt}$cmp_missing  = {res}.
{txt}$cmp_cont     = {res}1
{txt}$cmp_left     = {res}2
{txt}$cmp_right    = {res}3
{txt}$cmp_probit   = {res}4
{txt}$cmp_oprobit  = {res}5
{txt}$cmp_mprobit  = {res}6
{txt}$cmp_int      = {res}7
{txt}$cmp_trunc    = {res}8{txt}  (deprecated)
$cmp_roprobit = {res}9
{txt}$cmp_frac     = {res}10
{txt}
{com}. eststo m1: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( log_overhead = i.country i.sector i.project i.own_area i.length i.source i.io_fe) , indicators($cmp_cont $cmp_cont) iterate(50) difficult
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,777
{txt}{hline 13}{c +}{hline 34}   F(12, 3764)     = {res}     8.14
{txt}       Model {c |} {res} 9.93239103        12  .827699252   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 382.638432     3,764  .101657394   {txt}R-squared       ={res}    0.0253
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0222
{txt}       Total {c |} {res} 392.570823     3,776  .103964731   {txt}Root MSE        =   {res} .31884

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0151412{col 33}{space 2} .0103895{col 44}{space 1}   -1.46{col 53}{space 3}0.145{col 61}{space 4}-.0355108{col 74}{space 3} .0052284
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0021123{col 33}{space 2} .0103948{col 44}{space 1}   -0.20{col 53}{space 3}0.839{col 61}{space 4}-.0224923{col 74}{space 3} .0182677
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0047392{col 33}{space 2} .0103844{col 44}{space 1}    0.46{col 53}{space 3}0.648{col 61}{space 4}-.0156204{col 74}{space 3} .0250989
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0267607{col 33}{space 2} .0103846{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0471207{col 74}{space 3}-.0064008
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0411227{col 33}{space 2} .0103837{col 44}{space 1}   -3.96{col 53}{space 3}0.000{col 61}{space 4}-.0614809{col 74}{space 3}-.0207644
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0271724{col 33}{space 2} .0103853{col 44}{space 1}    2.62{col 53}{space 3}0.009{col 61}{space 4}  .006811{col 74}{space 3} .0475338
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2012098{col 33}{space 2} .0666451{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4} .0705458{col 74}{space 3} .3318738
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0767903{col 33}{space 2} .0178859{col 44}{space 1}   -4.29{col 53}{space 3}0.000{col 61}{space 4}-.1118573{col 74}{space 3}-.0417232
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0759744{col 33}{space 2} .0166437{col 44}{space 1}   -4.56{col 53}{space 3}0.000{col 61}{space 4} -.108606{col 74}{space 3}-.0433427
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0670914{col 33}{space 2} .0340767{col 44}{space 1}    1.97{col 53}{space 3}0.049{col 61}{space 4} .0002807{col 74}{space 3}  .133902
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1005365{col 33}{space 2} .0245098{col 44}{space 1}   -4.10{col 53}{space 3}0.000{col 61}{space 4}-.1485903{col 74}{space 3}-.0524826
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0945746{col 33}{space 2} .0185378{col 44}{space 1}   -5.10{col 53}{space 3}0.000{col 61}{space 4}-.1309197{col 74}{space 3}-.0582296
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2100799{col 33}{space 2} .0191019{col 44}{space 1}   11.00{col 53}{space 3}0.000{col 61}{space 4} .1726288{col 74}{space 3} .2475309
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,517
{txt}{hline 13}{c +}{hline 34}   F(12, 3504)     = {res}    10.41
{txt}       Model {c |} {res} 113.471515        12  9.45595962   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 3183.69022     3,504  .908587392   {txt}R-squared       ={res}    0.0344
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0311
{txt}       Total {c |} {res} 3297.16174     3,516  .937759311   {txt}Root MSE        =   {res}  .9532

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       log_overhead{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0090261{col 33}{space 2} .0322234{col 44}{space 1}    0.28{col 53}{space 3}0.779{col 61}{space 4}-.0541525{col 74}{space 3} .0722047
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0444677{col 33}{space 2} .0322154{col 44}{space 1}    1.38{col 53}{space 3}0.168{col 61}{space 4}-.0186951{col 74}{space 3} .1076306
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0029486{col 33}{space 2}  .032218{col 44}{space 1}    0.09{col 53}{space 3}0.927{col 61}{space 4}-.0602193{col 74}{space 3} .0661166
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0064855{col 33}{space 2} .0321836{col 44}{space 1}   -0.20{col 53}{space 3}0.840{col 61}{space 4}-.0695859{col 74}{space 3} .0566149
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .0032795{col 33}{space 2} .0322003{col 44}{space 1}    0.10{col 53}{space 3}0.919{col 61}{space 4}-.0598537{col 74}{space 3} .0664128
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.0529063{col 33}{space 2} .0321878{col 44}{space 1}   -1.64{col 53}{space 3}0.100{col 61}{space 4} -.116015{col 74}{space 3} .0102024
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.0112424{col 33}{space 2} .2505643{col 44}{space 1}   -0.04{col 53}{space 3}0.964{col 61}{space 4} -.502509{col 74}{space 3} .4800243
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .3669345{col 33}{space 2} .0566539{col 44}{space 1}    6.48{col 53}{space 3}0.000{col 61}{space 4} .2558564{col 74}{space 3} .4780125
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.090336{col 33}{space 2}  .052759{col 44}{space 1}   -1.71{col 53}{space 3}0.087{col 61}{space 4}-.1937774{col 74}{space 3} .0131055
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.0191894{col 33}{space 2} .1136239{col 44}{space 1}   -0.17{col 53}{space 3}0.866{col 61}{space 4}-.2419651{col 74}{space 3} .2035864
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.0300042{col 33}{space 2} .0757854{col 44}{space 1}   -0.40{col 53}{space 3}0.692{col 61}{space 4}-.1785922{col 74}{space 3} .1185838
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0095689{col 33}{space 2} .0584471{col 44}{space 1}   -0.16{col 53}{space 3}0.870{col 61}{space 4}-.1241626{col 74}{space 3} .1050248
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.998667{col 33}{space 2}   .06048{col 44}{space 1}   49.58{col 53}{space 3}0.000{col 61}{space 4} 2.880087{col 74}{space 3} 3.117246
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}log_overhead{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res:-5756.8036}  
Iteration 1:{space 3}log likelihood = {res:-5724.0868}  
Iteration 2:{space 3}log likelihood = {res:-5721.6919}  
Iteration 3:{space 3}log likelihood = {res:-5721.6899}  
Iteration 4:{space 3}log likelihood = {res:-5721.6899}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    237.24
{txt}Log likelihood = {res}-5721.6899{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0154108{col 33}{space 2} .0103609{col 44}{space 1}   -1.49{col 53}{space 3}0.137{col 61}{space 4}-.0357178{col 74}{space 3} .0048962
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0026481{col 33}{space 2}  .010366{col 44}{space 1}   -0.26{col 53}{space 3}0.798{col 61}{space 4} -.022965{col 74}{space 3} .0176688
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0049074{col 33}{space 2} .0103555{col 44}{space 1}    0.47{col 53}{space 3}0.636{col 61}{space 4}-.0153891{col 74}{space 3} .0252039
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0271486{col 33}{space 2} .0103556{col 44}{space 1}   -2.62{col 53}{space 3}0.009{col 61}{space 4}-.0474452{col 74}{space 3} -.006852
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0414497{col 33}{space 2} .0103549{col 44}{space 1}   -4.00{col 53}{space 3}0.000{col 61}{space 4}-.0617449{col 74}{space 3}-.0211545
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0282154{col 33}{space 2} .0103566{col 44}{space 1}    2.72{col 53}{space 3}0.006{col 61}{space 4} .0079168{col 74}{space 3}  .048514
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2019078{col 33}{space 2} .0665553{col 44}{space 1}    3.03{col 53}{space 3}0.002{col 61}{space 4} .0714619{col 74}{space 3} .3323537
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0749918{col 33}{space 2} .0178551{col 44}{space 1}   -4.20{col 53}{space 3}0.000{col 61}{space 4}-.1099871{col 74}{space 3}-.0399965
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0753178{col 33}{space 2} .0166048{col 44}{space 1}   -4.54{col 53}{space 3}0.000{col 61}{space 4}-.1078625{col 74}{space 3} -.042773
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0676558{col 33}{space 2} .0340293{col 44}{space 1}    1.99{col 53}{space 3}0.047{col 61}{space 4} .0009596{col 74}{space 3}  .134352
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1019544{col 33}{space 2} .0244116{col 44}{space 1}   -4.18{col 53}{space 3}0.000{col 61}{space 4}-.1498002{col 74}{space 3}-.0541086
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0943738{col 33}{space 2} .0185072{col 44}{space 1}   -5.10{col 53}{space 3}0.000{col 61}{space 4}-.1306472{col 74}{space 3}-.0581003
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2097932{col 33}{space 2} .0190631{col 44}{space 1}   11.01{col 53}{space 3}0.000{col 61}{space 4} .1724301{col 74}{space 3} .2471562
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}log_overhead        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0242258{col 33}{space 2} .0340161{col 44}{space 1}    0.71{col 53}{space 3}0.476{col 61}{space 4}-.0424444{col 74}{space 3} .0908961
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0569321{col 33}{space 2} .0340072{col 44}{space 1}    1.67{col 53}{space 3}0.094{col 61}{space 4}-.0097207{col 74}{space 3}  .123585
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0006034{col 33}{space 2} .0339955{col 44}{space 1}    0.02{col 53}{space 3}0.986{col 61}{space 4}-.0660264{col 74}{space 3} .0672333
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0363903{col 33}{space 2} .0340637{col 44}{space 1}    1.07{col 53}{space 3}0.285{col 61}{space 4}-.0303732{col 74}{space 3} .1031539
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .0408515{col 33}{space 2} .0340554{col 44}{space 1}    1.20{col 53}{space 3}0.230{col 61}{space 4}-.0258959{col 74}{space 3} .1075989
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.0829834{col 33}{space 2}  .034018{col 44}{space 1}   -2.44{col 53}{space 3}0.015{col 61}{space 4}-.1496574{col 74}{space 3}-.0163094
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.3615562{col 33}{space 2} .2581469{col 44}{space 1}   -1.40{col 53}{space 3}0.161{col 61}{space 4}-.8675149{col 74}{space 3} .1444025
{txt}{space 17}3  {c |}{col 21}{res}{space 2}  .452022{col 33}{space 2} .0598488{col 44}{space 1}    7.55{col 53}{space 3}0.000{col 61}{space 4} .3347205{col 74}{space 3} .5693235
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0152653{col 33}{space 2} .0556753{col 44}{space 1}   -0.27{col 53}{space 3}0.784{col 61}{space 4}-.1243869{col 74}{space 3} .0938562
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.1187575{col 33}{space 2} .1187885{col 44}{space 1}   -1.00{col 53}{space 3}0.317{col 61}{space 4}-.3515786{col 74}{space 3} .1140636
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0549382{col 33}{space 2} .0800833{col 44}{space 1}    0.69{col 53}{space 3}0.493{col 61}{space 4}-.1020222{col 74}{space 3} .2118986
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0912811{col 33}{space 2} .0618683{col 44}{space 1}    1.48{col 53}{space 3}0.140{col 61}{space 4}-.0299786{col 74}{space 3} .2125407
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.785423{col 33}{space 2} .0649352{col 44}{space 1}   42.90{col 53}{space 3}0.000{col 61}{space 4} 2.658152{col 74}{space 3} 2.912693
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2}-1.144402{col 33}{space 2}   .01151{col 44}{space 1}  -99.43{col 53}{space 3}0.000{col 61}{space 4}-1.166961{col 74}{space 3}-1.121843
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} .0137887{col 33}{space 2} .0148858{col 44}{space 1}    0.93{col 53}{space 3}0.354{col 61}{space 4}-.0153869{col 74}{space 3} .0429643
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.4604036{col 33}{space 2}  .027076{col 44}{space 1}  -17.00{col 53}{space 3}0.000{col 61}{space 4}-.5134716{col 74}{space 3}-.4073356
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .3184143{col 33}{space 2}  .003665{col 61}{space 4} .3113115{col 74}{space 3} .3256791
{txt}              sig_2 {c |}{col 21}{res}{space 2} 1.013884{col 33}{space 2} .0150925{col 61}{space 4} .9847309{col 74}{space 3} 1.043901
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.4304131{col 33}{space 2}   .02206{col 61}{space 4}-.4726457{col 74}{space 3} -.386208
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5003909 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4996091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5011728 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4988272 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993484 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006516 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4949179 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5050821 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4980453 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5019547 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5053427 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4946573 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1329163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0062549 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 4}.223091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3554861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0276257 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0690644 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1855616 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1254419{col 33}{space 2}  .007313{col 44}{space 1}   17.15{col 53}{space 3}0.000{col 61}{space 4} .1111087{col 74}{space 3} .1397751
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1100311{col 33}{space 2} .0073304{col 44}{space 1}   15.01{col 53}{space 3}0.000{col 61}{space 4} .0956637{col 74}{space 3} .1243985
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1190635{col 33}{space 2} .0073157{col 44}{space 1}   16.28{col 53}{space 3}0.000{col 61}{space 4}  .104725{col 74}{space 3}  .133402
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1164153{col 33}{space 2} .0073313{col 44}{space 1}   15.88{col 53}{space 3}0.000{col 61}{space 4} .1020462{col 74}{space 3} .1307845
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1152856{col 33}{space 2} .0073234{col 44}{space 1}   15.74{col 53}{space 3}0.000{col 61}{space 4} .1009321{col 74}{space 3} .1296392
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  .120193{col 33}{space 2} .0073163{col 44}{space 1}   16.43{col 53}{space 3}0.000{col 61}{space 4} .1058534{col 74}{space 3} .1345326
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1314548{col 33}{space 2}  .007362{col 44}{space 1}   17.86{col 53}{space 3}0.000{col 61}{space 4} .1170254{col 74}{space 3} .1458841
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1043062{col 33}{space 2} .0072779{col 44}{space 1}   14.33{col 53}{space 3}0.000{col 61}{space 4} .0900418{col 74}{space 3} .1185706
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1385484{col 33}{space 2} .0073291{col 44}{space 1}   18.90{col 53}{space 3}0.000{col 61}{space 4} .1241836{col 74}{space 3} .1529132
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0970987{col 33}{space 2} .0073101{col 44}{space 1}   13.28{col 53}{space 3}0.000{col 61}{space 4} .0827712{col 74}{space 3} .1114262
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1037856{col 33}{space 2} .0072792{col 44}{space 1}   14.26{col 53}{space 3}0.000{col 61}{space 4} .0895186{col 74}{space 3} .1180526
{txt}Private foundation  {c |}{col 21}{res}{space 2} .1320009{col 33}{space 2} .0073614{col 44}{space 1}   17.93{col 53}{space 3}0.000{col 61}{space 4} .1175728{col 74}{space 3}  .146429
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .1826685{col 33}{space 2} .0141257{col 44}{space 1}   12.93{col 53}{space 3}0.000{col 61}{space 4} .1549827{col 74}{space 3} .2103544
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .3845764{col 33}{space 2} .0650403{col 44}{space 1}    5.91{col 53}{space 3}0.000{col 61}{space 4} .2570997{col 74}{space 3}  .512053
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1076767{col 33}{space 2} .0109173{col 44}{space 1}    9.86{col 53}{space 3}0.000{col 61}{space 4} .0862793{col 74}{space 3} .1290742
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1073508{col 33}{space 2} .0087282{col 44}{space 1}   12.30{col 53}{space 3}0.000{col 61}{space 4} .0902438{col 74}{space 3} .1244577
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2503244{col 33}{space 2} .0309536{col 44}{space 1}    8.09{col 53}{space 3}0.000{col 61}{space 4} .1896564{col 74}{space 3} .3109924
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0807141{col 33}{space 2} .0199149{col 44}{space 1}    4.05{col 53}{space 3}0.000{col 61}{space 4} .0416817{col 74}{space 3} .1197466
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0882948{col 33}{space 2} .0119532{col 44}{space 1}    7.39{col 53}{space 3}0.000{col 61}{space 4} .0648669{col 74}{space 3} .1117227
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead1
{txt}
{com}. 
. eststo m2: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( log_overhead = i.country i.sector i.project i.own_area i.length i.source i.io_fe) , indicators($cmp_probit $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-1369.3725}  
Iteration 1:{space 3}log likelihood = {res:-1326.6164}  
Iteration 2:{space 3}log likelihood = {res:-1326.2677}  
Iteration 3:{space 3}log likelihood = {res:-1326.2676}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     3,777
{txt}{col 49}LR chi2({res}12{txt}){col 67}= {res}     86.21
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1326.2676{txt}{col 49}Pseudo R2{col 67}= {res}    0.0315

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0781343{col 33}{space 2} .0541271{col 44}{space 1}   -1.44{col 53}{space 3}0.149{col 61}{space 4}-.1842215{col 74}{space 3} .0279529
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0099949{col 33}{space 2}   .05413{col 44}{space 1}   -0.18{col 53}{space 3}0.854{col 61}{space 4}-.1160878{col 74}{space 3}  .096098
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0236655{col 33}{space 2} .0540365{col 44}{space 1}    0.44{col 53}{space 3}0.661{col 61}{space 4}-.0822441{col 74}{space 3} .1295751
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1439533{col 33}{space 2} .0541703{col 44}{space 1}   -2.66{col 53}{space 3}0.008{col 61}{space 4}-.2501252{col 74}{space 3}-.0377815
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2144487{col 33}{space 2} .0543363{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.3209459{col 74}{space 3}-.1079516
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1358982{col 33}{space 2} .0541536{col 44}{space 1}    2.51{col 53}{space 3}0.012{col 61}{space 4}  .029759{col 74}{space 3} .2420373
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .6454714{col 33}{space 2} .2684865{col 44}{space 1}    2.40{col 53}{space 3}0.016{col 61}{space 4} .1192476{col 74}{space 3} 1.171695
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3435499{col 33}{space 2} .0869547{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.5139779{col 74}{space 3}-.1731219
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3433906{col 33}{space 2} .0799382{col 44}{space 1}   -4.30{col 53}{space 3}0.000{col 61}{space 4}-.5000667{col 74}{space 3}-.1867146
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2344987{col 33}{space 2} .1493771{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4}-.0582751{col 74}{space 3} .5272724
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4966062{col 33}{space 2} .1319624{col 44}{space 1}   -3.76{col 53}{space 3}0.000{col 61}{space 4}-.7552478{col 74}{space 3}-.2379645
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4520035{col 33}{space 2} .0935171{col 44}{space 1}   -4.83{col 53}{space 3}0.000{col 61}{space 4}-.6352937{col 74}{space 3}-.2687133
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7683601{col 33}{space 2} .0929148{col 44}{space 1}   -8.27{col 53}{space 3}0.000{col 61}{space 4}-.9504698{col 74}{space 3}-.5862505
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,517
{txt}{hline 13}{c +}{hline 34}   F(12, 3504)     = {res}    10.41
{txt}       Model {c |} {res} 113.471515        12  9.45595962   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 3183.69022     3,504  .908587392   {txt}R-squared       ={res}    0.0344
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0311
{txt}       Total {c |} {res} 3297.16174     3,516  .937759311   {txt}Root MSE        =   {res}  .9532

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       log_overhead{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0090261{col 33}{space 2} .0322234{col 44}{space 1}    0.28{col 53}{space 3}0.779{col 61}{space 4}-.0541525{col 74}{space 3} .0722047
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0444677{col 33}{space 2} .0322154{col 44}{space 1}    1.38{col 53}{space 3}0.168{col 61}{space 4}-.0186951{col 74}{space 3} .1076306
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0029486{col 33}{space 2}  .032218{col 44}{space 1}    0.09{col 53}{space 3}0.927{col 61}{space 4}-.0602193{col 74}{space 3} .0661166
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0064855{col 33}{space 2} .0321836{col 44}{space 1}   -0.20{col 53}{space 3}0.840{col 61}{space 4}-.0695859{col 74}{space 3} .0566149
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .0032795{col 33}{space 2} .0322003{col 44}{space 1}    0.10{col 53}{space 3}0.919{col 61}{space 4}-.0598537{col 74}{space 3} .0664128
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.0529063{col 33}{space 2} .0321878{col 44}{space 1}   -1.64{col 53}{space 3}0.100{col 61}{space 4} -.116015{col 74}{space 3} .0102024
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.0112424{col 33}{space 2} .2505643{col 44}{space 1}   -0.04{col 53}{space 3}0.964{col 61}{space 4} -.502509{col 74}{space 3} .4800243
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .3669345{col 33}{space 2} .0566539{col 44}{space 1}    6.48{col 53}{space 3}0.000{col 61}{space 4} .2558564{col 74}{space 3} .4780125
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.090336{col 33}{space 2}  .052759{col 44}{space 1}   -1.71{col 53}{space 3}0.087{col 61}{space 4}-.1937774{col 74}{space 3} .0131055
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.0191894{col 33}{space 2} .1136239{col 44}{space 1}   -0.17{col 53}{space 3}0.866{col 61}{space 4}-.2419651{col 74}{space 3} .2035864
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.0300042{col 33}{space 2} .0757854{col 44}{space 1}   -0.40{col 53}{space 3}0.692{col 61}{space 4}-.1785922{col 74}{space 3} .1185838
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0095689{col 33}{space 2} .0584471{col 44}{space 1}   -0.16{col 53}{space 3}0.870{col 61}{space 4}-.1241626{col 74}{space 3} .1050248
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.998667{col 33}{space 2}   .06048{col 44}{space 1}   49.58{col 53}{space 3}0.000{col 61}{space 4} 2.880087{col 74}{space 3} 3.117246
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}log_overhead{res} equation appears ill-conditioned. (Condition number = 20.864467.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res:-6084.1782}  
Iteration 1:{space 3}log likelihood = {res:-6071.8759}  
Iteration 2:{space 3}log likelihood = {res:-6071.6269}  
Iteration 3:{space 3}log likelihood = {res:-6071.6269}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    212.77
{txt}Log likelihood = {res}-6071.6269{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0764634{col 33}{space 2} .0544884{col 44}{space 1}   -1.40{col 53}{space 3}0.161{col 61}{space 4}-.1832588{col 74}{space 3} .0303319
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0019205{col 33}{space 2}  .054496{col 44}{space 1}    0.04{col 53}{space 3}0.972{col 61}{space 4}-.1048897{col 74}{space 3} .1087307
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0202702{col 33}{space 2} .0543689{col 44}{space 1}    0.37{col 53}{space 3}0.709{col 61}{space 4}-.0862908{col 74}{space 3} .1268313
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1416458{col 33}{space 2} .0545116{col 44}{space 1}   -2.60{col 53}{space 3}0.009{col 61}{space 4}-.2484866{col 74}{space 3}-.0348049
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2156392{col 33}{space 2} .0546698{col 44}{space 1}   -3.94{col 53}{space 3}0.000{col 61}{space 4}  -.32279{col 74}{space 3}-.1084884
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1303016{col 33}{space 2} .0544957{col 44}{space 1}    2.39{col 53}{space 3}0.017{col 61}{space 4} .0234921{col 74}{space 3} .2371111
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .6708743{col 33}{space 2} .2671009{col 44}{space 1}    2.51{col 53}{space 3}0.012{col 61}{space 4} .1473661{col 74}{space 3} 1.194382
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3405982{col 33}{space 2} .0872637{col 44}{space 1}   -3.90{col 53}{space 3}0.000{col 61}{space 4}-.5116319{col 74}{space 3}-.1695645
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3218375{col 33}{space 2} .0803426{col 44}{space 1}   -4.01{col 53}{space 3}0.000{col 61}{space 4}-.4793062{col 74}{space 3}-.1643689
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2461197{col 33}{space 2} .1508332{col 44}{space 1}    1.63{col 53}{space 3}0.103{col 61}{space 4}-.0495079{col 74}{space 3} .5417472
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4617704{col 33}{space 2} .1328094{col 44}{space 1}   -3.48{col 53}{space 3}0.001{col 61}{space 4} -.722072{col 74}{space 3}-.2014687
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4701381{col 33}{space 2} .0952559{col 44}{space 1}   -4.94{col 53}{space 3}0.000{col 61}{space 4}-.6568364{col 74}{space 3}-.2834399
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7784617{col 33}{space 2} .0933417{col 44}{space 1}   -8.34{col 53}{space 3}0.000{col 61}{space 4}-.9614082{col 74}{space 3}-.5955153
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}log_overhead        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0152318{col 33}{space 2} .0324916{col 44}{space 1}    0.47{col 53}{space 3}0.639{col 61}{space 4}-.0484506{col 74}{space 3} .0789142
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0515079{col 33}{space 2} .0324866{col 44}{space 1}    1.59{col 53}{space 3}0.113{col 61}{space 4}-.0121647{col 74}{space 3} .1151806
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0018541{col 33}{space 2} .0324814{col 44}{space 1}    0.06{col 53}{space 3}0.954{col 61}{space 4}-.0618082{col 74}{space 3} .0655164
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0141225{col 33}{space 2} .0324877{col 44}{space 1}    0.43{col 53}{space 3}0.664{col 61}{space 4}-.0495522{col 74}{space 3} .0777973
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .0195975{col 33}{space 2} .0324874{col 44}{space 1}    0.60{col 53}{space 3}0.546{col 61}{space 4}-.0440766{col 74}{space 3} .0832715
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.0657929{col 33}{space 2} .0324688{col 44}{space 1}   -2.03{col 53}{space 3}0.043{col 61}{space 4}-.1294306{col 74}{space 3}-.0021551
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.1580333{col 33}{space 2} .2494322{col 44}{space 1}   -0.63{col 53}{space 3}0.526{col 61}{space 4}-.6469115{col 74}{space 3} .3308449
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .4041412{col 33}{space 2}  .057106{col 44}{space 1}    7.08{col 53}{space 3}0.000{col 61}{space 4} .2922156{col 74}{space 3} .5160669
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.057778{col 33}{space 2} .0531576{col 44}{space 1}   -1.09{col 53}{space 3}0.277{col 61}{space 4}-.1619649{col 74}{space 3} .0464088
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.0595751{col 33}{space 2} .1139856{col 44}{space 1}   -0.52{col 53}{space 3}0.601{col 61}{space 4}-.2829829{col 74}{space 3} .1638326
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0065697{col 33}{space 2} .0764363{col 44}{space 1}    0.09{col 53}{space 3}0.932{col 61}{space 4}-.1432426{col 74}{space 3} .1563821
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0344774{col 33}{space 2} .0589647{col 44}{space 1}    0.58{col 53}{space 3}0.559{col 61}{space 4}-.0810913{col 74}{space 3} .1500462
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 2.895819{col 33}{space 2} .0613885{col 44}{space 1}   47.17{col 53}{space 3}0.000{col 61}{space 4}   2.7755{col 74}{space 3} 3.016138
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2}-.0352092{col 33}{space 2} .0124126{col 44}{space 1}   -2.84{col 53}{space 3}0.005{col 61}{space 4}-.0595375{col 74}{space 3}-.0108809
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.4090968{col 33}{space 2} .0328249{col 44}{space 1}  -12.46{col 53}{space 3}0.000{col 61}{space 4}-.4734325{col 74}{space 3}-.3447611
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} .9654034{col 33}{space 2} .0119832{col 61}{space 4} .9422002{col 74}{space 3} .9891781
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.3877055{col 33}{space 2} .0278908{col 61}{space 4}-.4409685{col 74}{space 3}-.3317212
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,837
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5003909 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4996091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5011728 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4988272 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993484 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006516 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4949179 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5050821 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4980453 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5019547 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5053427 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4946573 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1329163 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0062549 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 4}.223091 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3554861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0276257 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0690644 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1855616 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 2.980704{col 33}{space 2} .0234601{col 44}{space 1}  127.05{col 53}{space 3}0.000{col 61}{space 4} 2.934723{col 74}{space 3} 3.026685
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 2.995936{col 33}{space 2} .0232395{col 44}{space 1}  128.92{col 53}{space 3}0.000{col 61}{space 4} 2.950387{col 74}{space 3} 3.041485
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 2.962621{col 33}{space 2}  .023424{col 44}{space 1}  126.48{col 53}{space 3}0.000{col 61}{space 4}  2.91671{col 74}{space 3} 3.008531
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 3.014128{col 33}{space 2} .0232722{col 44}{space 1}  129.52{col 53}{space 3}0.000{col 61}{space 4} 2.968516{col 74}{space 3} 3.059741
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 2.987386{col 33}{space 2} .0233368{col 44}{space 1}  128.01{col 53}{space 3}0.000{col 61}{space 4} 2.941646{col 74}{space 3} 3.033125
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  2.98924{col 33}{space 2} .0233563{col 44}{space 1}  127.98{col 53}{space 3}0.000{col 61}{space 4} 2.943462{col 74}{space 3} 3.035017
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 2.981181{col 33}{space 2}  .023782{col 44}{space 1}  125.35{col 53}{space 3}0.000{col 61}{space 4} 2.934569{col 74}{space 3} 3.027793
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 2.995304{col 33}{space 2} .0229152{col 44}{space 1}  130.71{col 53}{space 3}0.000{col 61}{space 4} 2.950391{col 74}{space 3} 3.040217
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 2.978477{col 33}{space 2} .0236694{col 44}{space 1}  125.84{col 53}{space 3}0.000{col 61}{space 4} 2.932086{col 74}{space 3} 3.024868
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 2.998074{col 33}{space 2} .0230258{col 44}{space 1}  130.20{col 53}{space 3}0.000{col 61}{space 4} 2.952945{col 74}{space 3} 3.043204
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 3.020859{col 33}{space 2} .0229905{col 44}{space 1}  131.40{col 53}{space 3}0.000{col 61}{space 4} 2.975798{col 74}{space 3}  3.06592
{txt}Private foundation  {c |}{col 21}{res}{space 2} 2.955066{col 33}{space 2} .0236949{col 44}{space 1}  124.71{col 53}{space 3}0.000{col 61}{space 4} 2.908625{col 74}{space 3} 3.001507
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 2.914476{col 33}{space 2} .0461271{col 44}{space 1}   63.18{col 53}{space 3}0.000{col 61}{space 4} 2.824069{col 74}{space 3} 3.004883
{txt}{space 17}2  {c |}{col 21}{res}{space 2} 2.756443{col 33}{space 2} .2456282{col 44}{space 1}   11.22{col 53}{space 3}0.000{col 61}{space 4}  2.27502{col 74}{space 3} 3.237865
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 3.318617{col 33}{space 2} .0343025{col 44}{space 1}   96.75{col 53}{space 3}0.000{col 61}{space 4} 3.251386{col 74}{space 3} 3.385849
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 2.856698{col 33}{space 2} .0273632{col 44}{space 1}  104.40{col 53}{space 3}0.000{col 61}{space 4} 2.803067{col 74}{space 3} 2.910329
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 2.854901{col 33}{space 2} .1048503{col 44}{space 1}   27.23{col 53}{space 3}0.000{col 61}{space 4} 2.649398{col 74}{space 3} 3.060404
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 2.921046{col 33}{space 2} .0613598{col 44}{space 1}   47.61{col 53}{space 3}0.000{col 61}{space 4} 2.800783{col 74}{space 3} 3.041309
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 2.948953{col 33}{space 2} .0372659{col 44}{space 1}   79.13{col 53}{space 3}0.000{col 61}{space 4} 2.875914{col 74}{space 3} 3.021993
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead2
{txt}
{com}. 
. *amount
. eststo m3: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe) ( log_amount = i.country i.sector i.project i.own_area i.length i.source i.io_fe)  , indicators($cmp_cont $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,777
{txt}{hline 13}{c +}{hline 34}   F(12, 3764)     = {res}     8.14
{txt}       Model {c |} {res} 9.93239103        12  .827699252   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 382.638432     3,764  .101657394   {txt}R-squared       ={res}    0.0253
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0222
{txt}       Total {c |} {res} 392.570823     3,776  .103964731   {txt}Root MSE        =   {res} .31884

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0151412{col 33}{space 2} .0103895{col 44}{space 1}   -1.46{col 53}{space 3}0.145{col 61}{space 4}-.0355108{col 74}{space 3} .0052284
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0021123{col 33}{space 2} .0103948{col 44}{space 1}   -0.20{col 53}{space 3}0.839{col 61}{space 4}-.0224923{col 74}{space 3} .0182677
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0047392{col 33}{space 2} .0103844{col 44}{space 1}    0.46{col 53}{space 3}0.648{col 61}{space 4}-.0156204{col 74}{space 3} .0250989
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0267607{col 33}{space 2} .0103846{col 44}{space 1}   -2.58{col 53}{space 3}0.010{col 61}{space 4}-.0471207{col 74}{space 3}-.0064008
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0411227{col 33}{space 2} .0103837{col 44}{space 1}   -3.96{col 53}{space 3}0.000{col 61}{space 4}-.0614809{col 74}{space 3}-.0207644
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0271724{col 33}{space 2} .0103853{col 44}{space 1}    2.62{col 53}{space 3}0.009{col 61}{space 4}  .006811{col 74}{space 3} .0475338
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2012098{col 33}{space 2} .0666451{col 44}{space 1}    3.02{col 53}{space 3}0.003{col 61}{space 4} .0705458{col 74}{space 3} .3318738
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0767903{col 33}{space 2} .0178859{col 44}{space 1}   -4.29{col 53}{space 3}0.000{col 61}{space 4}-.1118573{col 74}{space 3}-.0417232
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0759744{col 33}{space 2} .0166437{col 44}{space 1}   -4.56{col 53}{space 3}0.000{col 61}{space 4} -.108606{col 74}{space 3}-.0433427
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0670914{col 33}{space 2} .0340767{col 44}{space 1}    1.97{col 53}{space 3}0.049{col 61}{space 4} .0002807{col 74}{space 3}  .133902
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1005365{col 33}{space 2} .0245098{col 44}{space 1}   -4.10{col 53}{space 3}0.000{col 61}{space 4}-.1485903{col 74}{space 3}-.0524826
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0945746{col 33}{space 2} .0185378{col 44}{space 1}   -5.10{col 53}{space 3}0.000{col 61}{space 4}-.1309197{col 74}{space 3}-.0582296
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2100799{col 33}{space 2} .0191019{col 44}{space 1}   11.00{col 53}{space 3}0.000{col 61}{space 4} .1726288{col 74}{space 3} .2475309
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,421
{txt}{hline 13}{c +}{hline 34}   F(12, 3408)     = {res}    11.51
{txt}       Model {c |} {res}  196.22185        12  16.3518208   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4841.29516     3,408  1.42056783   {txt}R-squared       ={res}    0.0390
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0356
{txt}       Total {c |} {res}   5037.517     3,420  1.47295819   {txt}Root MSE        =   {res} 1.1919

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         log_amount{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .014421{col 33}{space 2} .0408215{col 44}{space 1}    0.35{col 53}{space 3}0.724{col 61}{space 4} -.065616{col 74}{space 3} .0944581
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0456072{col 33}{space 2} .0408402{col 44}{space 1}    1.12{col 53}{space 3}0.264{col 61}{space 4}-.0344666{col 74}{space 3}  .125681
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0037693{col 33}{space 2} .0408422{col 44}{space 1}   -0.09{col 53}{space 3}0.926{col 61}{space 4}-.0838469{col 74}{space 3} .0763084
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.060959{col 33}{space 2} .0408056{col 44}{space 1}   -1.49{col 53}{space 3}0.135{col 61}{space 4}-.1409649{col 74}{space 3}  .019047
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .3520634{col 33}{space 2} .0408314{col 44}{space 1}    8.62{col 53}{space 3}0.000{col 61}{space 4} .2720069{col 74}{space 3} .4321198
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0570149{col 33}{space 2} .0407983{col 44}{space 1}    1.40{col 53}{space 3}0.162{col 61}{space 4}-.0229767{col 74}{space 3} .1370065
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.7882141{col 33}{space 2} .2795873{col 44}{space 1}   -2.82{col 53}{space 3}0.005{col 61}{space 4} -1.33639{col 74}{space 3}-.2400384
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .0102592{col 33}{space 2} .0713507{col 44}{space 1}    0.14{col 53}{space 3}0.886{col 61}{space 4}-.1296352{col 74}{space 3} .1501536
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.2533735{col 33}{space 2}  .066725{col 44}{space 1}   -3.80{col 53}{space 3}0.000{col 61}{space 4}-.3841986{col 74}{space 3}-.1225484
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.3032308{col 33}{space 2} .1388286{col 44}{space 1}   -2.18{col 53}{space 3}0.029{col 61}{space 4}-.5754266{col 74}{space 3} -.031035
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.3266131{col 33}{space 2} .0966887{col 44}{space 1}   -3.38{col 53}{space 3}0.001{col 61}{space 4}-.5161867{col 74}{space 3}-.1370394
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.3808476{col 33}{space 2} .0735682{col 44}{space 1}   -5.18{col 53}{space 3}0.000{col 61}{space 4}-.5250899{col 74}{space 3}-.2366053
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 1.467393{col 33}{space 2} .0761007{col 44}{space 1}   19.28{col 53}{space 3}0.000{col 61}{space 4} 1.318186{col 74}{space 3} 1.616601
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}log_amount{res} equation appears ill-conditioned. (Condition number = 20.774531.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res:-6483.0205}  
Iteration 1:{space 3}log likelihood = {res:-6481.3921}  
Iteration 2:{space 3}log likelihood = {res:-6481.2501}  
Iteration 3:{space 3}log likelihood = {res:-6481.2499}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    231.27
{txt}Log likelihood = {res}-6481.2499{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0154414{col 33}{space 2}  .010374{col 44}{space 1}   -1.49{col 53}{space 3}0.137{col 61}{space 4} -.035774{col 74}{space 3} .0048912
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0021388{col 33}{space 2} .0103785{col 44}{space 1}   -0.21{col 53}{space 3}0.837{col 61}{space 4}-.0224802{col 74}{space 3} .0182027
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0045712{col 33}{space 2} .0103684{col 44}{space 1}    0.44{col 53}{space 3}0.659{col 61}{space 4}-.0157505{col 74}{space 3} .0248929
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0269337{col 33}{space 2} .0103686{col 44}{space 1}   -2.60{col 53}{space 3}0.009{col 61}{space 4}-.0472557{col 74}{space 3}-.0066117
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0411063{col 33}{space 2} .0103674{col 44}{space 1}   -3.96{col 53}{space 3}0.000{col 61}{space 4} -.061426{col 74}{space 3}-.0207866
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0272161{col 33}{space 2}  .010369{col 44}{space 1}    2.62{col 53}{space 3}0.009{col 61}{space 4} .0068933{col 74}{space 3} .0475389
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .2106542{col 33}{space 2}  .066597{col 44}{space 1}    3.16{col 53}{space 3}0.002{col 61}{space 4} .0801265{col 74}{space 3} .3411818
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0766743{col 33}{space 2} .0178579{col 44}{space 1}   -4.29{col 53}{space 3}0.000{col 61}{space 4}-.1116751{col 74}{space 3}-.0416736
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0766481{col 33}{space 2}   .01662{col 44}{space 1}   -4.61{col 53}{space 3}0.000{col 61}{space 4}-.1092226{col 74}{space 3}-.0440735
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0638149{col 33}{space 2} .0340483{col 44}{space 1}    1.87{col 53}{space 3}0.061{col 61}{space 4}-.0029185{col 74}{space 3} .1305482
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1014257{col 33}{space 2} .0244751{col 44}{space 1}   -4.14{col 53}{space 3}0.000{col 61}{space 4} -.149396{col 74}{space 3}-.0534554
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0945899{col 33}{space 2} .0185081{col 44}{space 1}   -5.11{col 53}{space 3}0.000{col 61}{space 4} -.130865{col 74}{space 3}-.0583148
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2111071{col 33}{space 2} .0190764{col 44}{space 1}   11.07{col 53}{space 3}0.000{col 61}{space 4}  .173718{col 74}{space 3} .2484962
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}log_amount          {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0120295{col 33}{space 2} .0409885{col 44}{space 1}    0.29{col 53}{space 3}0.769{col 61}{space 4}-.0683064{col 74}{space 3} .0923655
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .044049{col 33}{space 2} .0409993{col 44}{space 1}    1.07{col 53}{space 3}0.283{col 61}{space 4}-.0363082{col 74}{space 3} .1244061
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0040947{col 33}{space 2}  .040995{col 44}{space 1}   -0.10{col 53}{space 3}0.920{col 61}{space 4}-.0844433{col 74}{space 3}  .076254
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0701978{col 33}{space 2} .0411732{col 44}{space 1}   -1.70{col 53}{space 3}0.088{col 61}{space 4}-.1508958{col 74}{space 3} .0105002
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .3339704{col 33}{space 2} .0418034{col 44}{space 1}    7.99{col 53}{space 3}0.000{col 61}{space 4} .2520372{col 74}{space 3} .4159037
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0681817{col 33}{space 2} .0412648{col 44}{space 1}    1.65{col 53}{space 3}0.098{col 61}{space 4}-.0126959{col 74}{space 3} .1490593
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.7222393{col 33}{space 2} .2817587{col 44}{space 1}   -2.56{col 53}{space 3}0.010{col 61}{space 4}-1.274476{col 74}{space 3}-.1700024
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0203399{col 33}{space 2}  .072942{col 44}{space 1}   -0.28{col 53}{space 3}0.780{col 61}{space 4}-.1633036{col 74}{space 3} .1226239
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.2776622{col 33}{space 2} .0678584{col 44}{space 1}   -4.09{col 53}{space 3}0.000{col 61}{space 4}-.4106622{col 74}{space 3}-.1446621
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.2813971{col 33}{space 2} .1396214{col 44}{space 1}   -2.02{col 53}{space 3}0.044{col 61}{space 4}-.5550501{col 74}{space 3}-.0077442
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.3588465{col 33}{space 2} .0981456{col 44}{space 1}   -3.66{col 53}{space 3}0.000{col 61}{space 4}-.5512083{col 74}{space 3}-.1664846
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4128863{col 33}{space 2} .0752541{col 44}{space 1}   -5.49{col 53}{space 3}0.000{col 61}{space 4}-.5603816{col 74}{space 3} -.265391
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 1.547356{col 33}{space 2} .0845806{col 44}{space 1}   18.29{col 53}{space 3}0.000{col 61}{space 4} 1.381582{col 74}{space 3} 1.713131
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2}-1.144557{col 33}{space 2}  .011513{col 44}{space 1}  -99.41{col 53}{space 3}0.000{col 61}{space 4}-1.167122{col 74}{space 3}-1.121992
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} .1800493{col 33}{space 2} .0135471{col 44}{space 1}   13.29{col 53}{space 3}0.000{col 61}{space 4} .1534975{col 74}{space 3} .2066011
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2} .1224227{col 33}{space 2} .0555173{col 44}{space 1}    2.21{col 53}{space 3}0.027{col 61}{space 4} .0136109{col 74}{space 3} .2312345
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .3183649{col 33}{space 2} .0036653{col 61}{space 4} .3112614{col 74}{space 3} .3256305
{txt}              sig_2 {c |}{col 21}{res}{space 2} 1.197276{col 33}{space 2} .0162196{col 61}{space 4} 1.165905{col 74}{space 3} 1.229492
{txt}             rho_12 {c |}{col 21}{res}{space 2} .1218147{col 33}{space 2} .0546934{col 61}{space 4}   .01361{col 74}{space 3} .2271995
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5017002 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4982998 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5009155 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4990845 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993461 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006539 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4930683 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5069317 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4985613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5014387 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5045776 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4954224 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1349725 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0073241 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2244311 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3484175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0292964 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0667015 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1888569 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1264155{col 33}{space 2} .0073248{col 44}{space 1}   17.26{col 53}{space 3}0.000{col 61}{space 4}  .112059{col 74}{space 3} .1407719
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1109741{col 33}{space 2} .0073412{col 44}{space 1}   15.12{col 53}{space 3}0.000{col 61}{space 4} .0965857{col 74}{space 3} .1253625
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1197884{col 33}{space 2} .0073293{col 44}{space 1}   16.34{col 53}{space 3}0.000{col 61}{space 4} .1054233{col 74}{space 3} .1341536
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1176497{col 33}{space 2} .0073399{col 44}{space 1}   16.03{col 53}{space 3}0.000{col 61}{space 4} .1032637{col 74}{space 3} .1320356
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1164324{col 33}{space 2} .0073347{col 44}{space 1}   15.87{col 53}{space 3}0.000{col 61}{space 4} .1020567{col 74}{space 3} .1308081
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1210036{col 33}{space 2} .0073274{col 44}{space 1}   16.51{col 53}{space 3}0.000{col 61}{space 4} .1066422{col 74}{space 3} .1353651
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .1323745{col 33}{space 2} .0073768{col 44}{space 1}   17.94{col 53}{space 3}0.000{col 61}{space 4} .1179163{col 74}{space 3} .1468328
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .1054409{col 33}{space 2} .0072857{col 44}{space 1}   14.47{col 53}{space 3}0.000{col 61}{space 4} .0911612{col 74}{space 3} .1197205
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1393333{col 33}{space 2} .0073405{col 44}{space 1}   18.98{col 53}{space 3}0.000{col 61}{space 4} .1249462{col 74}{space 3} .1537204
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2}  .098227{col 33}{space 2} .0073209{col 44}{space 1}   13.42{col 53}{space 3}0.000{col 61}{space 4} .0838784{col 74}{space 3} .1125757
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .1052375{col 33}{space 2} .0072881{col 44}{space 1}   14.44{col 53}{space 3}0.000{col 61}{space 4} .0909531{col 74}{space 3}  .119522
{txt}Private foundation  {c |}{col 21}{res}{space 2} .1324537{col 33}{space 2} .0073746{col 44}{space 1}   17.96{col 53}{space 3}0.000{col 61}{space 4} .1179997{col 74}{space 3} .1469076
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .1838515{col 33}{space 2} .0141304{col 44}{space 1}   13.01{col 53}{space 3}0.000{col 61}{space 4} .1561564{col 74}{space 3} .2115465
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .3945056{col 33}{space 2} .0651015{col 44}{space 1}    6.06{col 53}{space 3}0.000{col 61}{space 4} .2669091{col 74}{space 3} .5221022
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .1071771{col 33}{space 2} .0109262{col 44}{space 1}    9.81{col 53}{space 3}0.000{col 61}{space 4} .0857623{col 74}{space 3}  .128592
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .1072034{col 33}{space 2} .0087501{col 44}{space 1}   12.25{col 53}{space 3}0.000{col 61}{space 4} .0900534{col 74}{space 3} .1243533
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2476663{col 33}{space 2} .0309609{col 44}{space 1}    8.00{col 53}{space 3}0.000{col 61}{space 4} .1869841{col 74}{space 3} .3083486
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0824258{col 33}{space 2} .0199888{col 44}{space 1}    4.12{col 53}{space 3}0.000{col 61}{space 4} .0432483{col 74}{space 3} .1216032
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0892616{col 33}{space 2} .0119567{col 44}{space 1}    7.47{col 53}{space 3}0.000{col 61}{space 4} .0658268{col 74}{space 3} .1126963
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount1
{txt}
{com}. 
. eststo m4: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe ) ( log_amount = i.country i.sector i.project i.own_area i.length i.source i.io_fe ) , indicators($cmp_probit $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-1369.3725}  
Iteration 1:{space 3}log likelihood = {res:-1326.6164}  
Iteration 2:{space 3}log likelihood = {res:-1326.2677}  
Iteration 3:{space 3}log likelihood = {res:-1326.2676}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     3,777
{txt}{col 49}LR chi2({res}12{txt}){col 67}= {res}     86.21
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1326.2676{txt}{col 49}Pseudo R2{col 67}= {res}    0.0315

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0781343{col 33}{space 2} .0541271{col 44}{space 1}   -1.44{col 53}{space 3}0.149{col 61}{space 4}-.1842215{col 74}{space 3} .0279529
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0099949{col 33}{space 2}   .05413{col 44}{space 1}   -0.18{col 53}{space 3}0.854{col 61}{space 4}-.1160878{col 74}{space 3}  .096098
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0236655{col 33}{space 2} .0540365{col 44}{space 1}    0.44{col 53}{space 3}0.661{col 61}{space 4}-.0822441{col 74}{space 3} .1295751
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1439533{col 33}{space 2} .0541703{col 44}{space 1}   -2.66{col 53}{space 3}0.008{col 61}{space 4}-.2501252{col 74}{space 3}-.0377815
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2144487{col 33}{space 2} .0543363{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.3209459{col 74}{space 3}-.1079516
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1358982{col 33}{space 2} .0541536{col 44}{space 1}    2.51{col 53}{space 3}0.012{col 61}{space 4}  .029759{col 74}{space 3} .2420373
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .6454714{col 33}{space 2} .2684865{col 44}{space 1}    2.40{col 53}{space 3}0.016{col 61}{space 4} .1192476{col 74}{space 3} 1.171695
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3435499{col 33}{space 2} .0869547{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.5139779{col 74}{space 3}-.1731219
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3433906{col 33}{space 2} .0799382{col 44}{space 1}   -4.30{col 53}{space 3}0.000{col 61}{space 4}-.5000667{col 74}{space 3}-.1867146
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2344987{col 33}{space 2} .1493771{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4}-.0582751{col 74}{space 3} .5272724
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4966062{col 33}{space 2} .1319624{col 44}{space 1}   -3.76{col 53}{space 3}0.000{col 61}{space 4}-.7552478{col 74}{space 3}-.2379645
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4520035{col 33}{space 2} .0935171{col 44}{space 1}   -4.83{col 53}{space 3}0.000{col 61}{space 4}-.6352937{col 74}{space 3}-.2687133
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7683601{col 33}{space 2} .0929148{col 44}{space 1}   -8.27{col 53}{space 3}0.000{col 61}{space 4}-.9504698{col 74}{space 3}-.5862505
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.152023.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,421
{txt}{hline 13}{c +}{hline 34}   F(12, 3408)     = {res}    11.51
{txt}       Model {c |} {res}  196.22185        12  16.3518208   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 4841.29516     3,408  1.42056783   {txt}R-squared       ={res}    0.0390
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0356
{txt}       Total {c |} {res}   5037.517     3,420  1.47295819   {txt}Root MSE        =   {res} 1.1919

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         log_amount{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .014421{col 33}{space 2} .0408215{col 44}{space 1}    0.35{col 53}{space 3}0.724{col 61}{space 4} -.065616{col 74}{space 3} .0944581
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0456072{col 33}{space 2} .0408402{col 44}{space 1}    1.12{col 53}{space 3}0.264{col 61}{space 4}-.0344666{col 74}{space 3}  .125681
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0037693{col 33}{space 2} .0408422{col 44}{space 1}   -0.09{col 53}{space 3}0.926{col 61}{space 4}-.0838469{col 74}{space 3} .0763084
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.060959{col 33}{space 2} .0408056{col 44}{space 1}   -1.49{col 53}{space 3}0.135{col 61}{space 4}-.1409649{col 74}{space 3}  .019047
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .3520634{col 33}{space 2} .0408314{col 44}{space 1}    8.62{col 53}{space 3}0.000{col 61}{space 4} .2720069{col 74}{space 3} .4321198
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0570149{col 33}{space 2} .0407983{col 44}{space 1}    1.40{col 53}{space 3}0.162{col 61}{space 4}-.0229767{col 74}{space 3} .1370065
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.7882141{col 33}{space 2} .2795873{col 44}{space 1}   -2.82{col 53}{space 3}0.005{col 61}{space 4} -1.33639{col 74}{space 3}-.2400384
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .0102592{col 33}{space 2} .0713507{col 44}{space 1}    0.14{col 53}{space 3}0.886{col 61}{space 4}-.1296352{col 74}{space 3} .1501536
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.2533735{col 33}{space 2}  .066725{col 44}{space 1}   -3.80{col 53}{space 3}0.000{col 61}{space 4}-.3841986{col 74}{space 3}-.1225484
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.3032308{col 33}{space 2} .1388286{col 44}{space 1}   -2.18{col 53}{space 3}0.029{col 61}{space 4}-.5754266{col 74}{space 3} -.031035
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.3266131{col 33}{space 2} .0966887{col 44}{space 1}   -3.38{col 53}{space 3}0.001{col 61}{space 4}-.5161867{col 74}{space 3}-.1370394
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.3808476{col 33}{space 2} .0735682{col 44}{space 1}   -5.18{col 53}{space 3}0.000{col 61}{space 4}-.5250899{col 74}{space 3}-.2366053
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 1.467393{col 33}{space 2} .0761007{col 44}{space 1}   19.28{col 53}{space 3}0.000{col 61}{space 4} 1.318186{col 74}{space 3} 1.616601
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}log_amount{res} equation appears ill-conditioned. (Condition number = 20.774531.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res:-6774.0593}  
Iteration 1:{space 3}log likelihood = {res:-6773.2371}  
Iteration 2:{space 3}log likelihood = {res:-6772.9395}  
Iteration 3:{space 3}log likelihood = {res:-6772.9394}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    221.59
{txt}Log likelihood = {res}-6772.9394{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0802091{col 33}{space 2} .0541451{col 44}{space 1}   -1.48{col 53}{space 3}0.139{col 61}{space 4}-.1863315{col 74}{space 3} .0259134
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0102145{col 33}{space 2} .0541292{col 44}{space 1}   -0.19{col 53}{space 3}0.850{col 61}{space 4}-.1163058{col 74}{space 3} .0958768
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0230515{col 33}{space 2} .0540358{col 44}{space 1}    0.43{col 53}{space 3}0.670{col 61}{space 4}-.0828567{col 74}{space 3} .1289596
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1432501{col 33}{space 2}   .05417{col 44}{space 1}   -2.64{col 53}{space 3}0.008{col 61}{space 4}-.2494213{col 74}{space 3}-.0370789
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2145075{col 33}{space 2}  .054339{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}  -.32101{col 74}{space 3} -.108005
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1350015{col 33}{space 2} .0541617{col 44}{space 1}    2.49{col 53}{space 3}0.013{col 61}{space 4} .0288464{col 74}{space 3} .2411565
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .6700309{col 33}{space 2} .2697572{col 44}{space 1}    2.48{col 53}{space 3}0.013{col 61}{space 4} .1413166{col 74}{space 3} 1.198745
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.3521038{col 33}{space 2} .0872221{col 44}{space 1}   -4.04{col 53}{space 3}0.000{col 61}{space 4}-.5230559{col 74}{space 3}-.1811517
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.3452542{col 33}{space 2} .0798441{col 44}{space 1}   -4.32{col 53}{space 3}0.000{col 61}{space 4}-.5017456{col 74}{space 3}-.1887627
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2262774{col 33}{space 2} .1491599{col 44}{space 1}    1.52{col 53}{space 3}0.129{col 61}{space 4}-.0660706{col 74}{space 3} .5186255
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4972727{col 33}{space 2} .1318301{col 44}{space 1}   -3.77{col 53}{space 3}0.000{col 61}{space 4} -.755655{col 74}{space 3}-.2388904
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.4531497{col 33}{space 2} .0934435{col 44}{space 1}   -4.85{col 53}{space 3}0.000{col 61}{space 4}-.6362956{col 74}{space 3}-.2700038
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.7625334{col 33}{space 2} .0928997{col 44}{space 1}   -8.21{col 53}{space 3}0.000{col 61}{space 4}-.9446134{col 74}{space 3}-.5804533
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}log_amount          {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0135983{col 33}{space 2} .0407972{col 44}{space 1}    0.33{col 53}{space 3}0.739{col 61}{space 4}-.0663628{col 74}{space 3} .0935593
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0448624{col 33}{space 2} .0408157{col 44}{space 1}    1.10{col 53}{space 3}0.272{col 61}{space 4} -.035135{col 74}{space 3} .1248598
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0042294{col 33}{space 2} .0408165{col 44}{space 1}   -0.10{col 53}{space 3}0.917{col 61}{space 4}-.0842281{col 74}{space 3} .0757694
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0653132{col 33}{space 2} .0408436{col 44}{space 1}   -1.60{col 53}{space 3}0.110{col 61}{space 4}-.1453653{col 74}{space 3} .0147388
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .3432374{col 33}{space 2} .0410646{col 44}{space 1}    8.36{col 53}{space 3}0.000{col 61}{space 4} .2627523{col 74}{space 3} .4237225
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  .062128{col 33}{space 2} .0408604{col 44}{space 1}    1.52{col 53}{space 3}0.128{col 61}{space 4}-.0179571{col 74}{space 3}  .142213
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.7588597{col 33}{space 2} .2795864{col 44}{space 1}   -2.71{col 53}{space 3}0.007{col 61}{space 4}-1.306839{col 74}{space 3}-.2108804
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0038503{col 33}{space 2} .0716687{col 44}{space 1}   -0.05{col 53}{space 3}0.957{col 61}{space 4}-.1443184{col 74}{space 3} .1366179
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.2640886{col 33}{space 2} .0669046{col 44}{space 1}   -3.95{col 53}{space 3}0.000{col 61}{space 4}-.3952193{col 74}{space 3}-.1329579
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-.2943552{col 33}{space 2} .1387672{col 44}{space 1}   -2.12{col 53}{space 3}0.034{col 61}{space 4}-.5663339{col 74}{space 3}-.0223766
{txt}{space 17}6  {c |}{col 21}{res}{space 2} -.341241{col 33}{space 2} .0969275{col 44}{space 1}   -3.52{col 53}{space 3}0.000{col 61}{space 4}-.5312155{col 74}{space 3}-.1512665
{txt}{space 17}7  {c |}{col 21}{res}{space 2} -.395355{col 33}{space 2} .0739021{col 44}{space 1}   -5.35{col 53}{space 3}0.000{col 61}{space 4}-.5402005{col 74}{space 3}-.2505095
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 1.509364{col 33}{space 2} .0791387{col 44}{space 1}   19.07{col 53}{space 3}0.000{col 61}{space 4} 1.354255{col 74}{space 3} 1.664473
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2}   .17537{col 33}{space 2} .0122673{col 44}{space 1}   14.30{col 53}{space 3}0.000{col 61}{space 4} .1513265{col 74}{space 3} .1994135
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2} .1160777{col 33}{space 2}  .061089{col 44}{space 1}    1.90{col 53}{space 3}0.057{col 61}{space 4}-.0036547{col 74}{space 3}   .23581
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 1.191687{col 33}{space 2} .0146188{col 61}{space 4} 1.163376{col 74}{space 3} 1.220687
{txt}             rho_12 {c |}{col 21}{res}{space 2} .1155591{col 33}{space 2} .0602733{col 61}{space 4}-.0036547{col 74}{space 3} .2315342
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,823
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.5017002 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.4982998 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5009155 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4990845 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4993461 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5006539 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4930683 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5069317 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.4985613 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.5014387 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5045776 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4954224 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1349725 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0073241 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.2244311 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.3484175 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0292964 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0667015 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.1888569 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 1.494934{col 33}{space 2} .0321457{col 44}{space 1}   46.50{col 53}{space 3}0.000{col 61}{space 4} 1.431929{col 74}{space 3} 1.557938
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 1.508532{col 33}{space 2} .0319553{col 44}{space 1}   47.21{col 53}{space 3}0.000{col 61}{space 4} 1.445901{col 74}{space 3} 1.571163
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 1.479319{col 33}{space 2}  .032144{col 44}{space 1}   46.02{col 53}{space 3}0.000{col 61}{space 4} 1.416318{col 74}{space 3} 1.542321
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 1.524182{col 33}{space 2} .0319692{col 44}{space 1}   47.68{col 53}{space 3}0.000{col 61}{space 4} 1.461523{col 74}{space 3}  1.58684
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 1.503827{col 33}{space 2} .0321202{col 44}{space 1}   46.82{col 53}{space 3}0.000{col 61}{space 4} 1.440873{col 74}{space 3} 1.566781
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 1.499598{col 33}{space 2} .0319942{col 44}{space 1}   46.87{col 53}{space 3}0.000{col 61}{space 4}  1.43689{col 74}{space 3} 1.562305
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 1.534819{col 33}{space 2} .0328924{col 44}{space 1}   46.66{col 53}{space 3}0.000{col 61}{space 4} 1.470351{col 74}{space 3} 1.599287
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 1.469506{col 33}{space 2} .0312384{col 44}{space 1}   47.04{col 53}{space 3}0.000{col 61}{space 4}  1.40828{col 74}{space 3} 1.530732
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 1.329597{col 33}{space 2} .0334463{col 44}{space 1}   39.75{col 53}{space 3}0.000{col 61}{space 4} 1.264044{col 74}{space 3} 1.395151
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 1.672834{col 33}{space 2} .0307785{col 44}{space 1}   54.35{col 53}{space 3}0.000{col 61}{space 4}  1.61251{col 74}{space 3} 1.733159
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2}  1.47093{col 33}{space 2} .0311707{col 44}{space 1}   47.19{col 53}{space 3}0.000{col 61}{space 4} 1.409837{col 74}{space 3} 1.532023
{txt}Private foundation  {c |}{col 21}{res}{space 2} 1.533058{col 33}{space 2} .0329619{col 44}{space 1}   46.51{col 53}{space 3}0.000{col 61}{space 4} 1.468454{col 74}{space 3} 1.597662
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 1.706195{col 33}{space 2} .0602728{col 44}{space 1}   28.31{col 53}{space 3}0.000{col 61}{space 4} 1.588062{col 74}{space 3} 1.824328
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .9473354{col 33}{space 2} .2754301{col 44}{space 1}    3.44{col 53}{space 3}0.001{col 61}{space 4} .4075023{col 74}{space 3} 1.487168
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 1.702345{col 33}{space 2}   .04427{col 44}{space 1}   38.45{col 53}{space 3}0.000{col 61}{space 4} 1.615577{col 74}{space 3} 1.789112
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 1.442106{col 33}{space 2} .0370273{col 44}{space 1}   38.95{col 53}{space 3}0.000{col 61}{space 4} 1.369534{col 74}{space 3} 1.514679
{txt}{space 17}5  {c |}{col 21}{res}{space 2}  1.41184{col 33}{space 2} .1286887{col 44}{space 1}   10.97{col 53}{space 3}0.000{col 61}{space 4} 1.159615{col 74}{space 3} 1.664065
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 1.364954{col 33}{space 2} .0788329{col 44}{space 1}   17.31{col 53}{space 3}0.000{col 61}{space 4} 1.210444{col 74}{space 3} 1.519464
{txt}{space 17}7  {c |}{col 21}{res}{space 2}  1.31084{col 33}{space 2} .0477534{col 44}{space 1}   27.45{col 53}{space 3}0.000{col 61}{space 4} 1.217245{col 74}{space 3} 1.404435
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount2
{txt}
{com}. 
. *Coefficient plot
. 
. *overhead
. coefplot overhead1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot overhead2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  
{res}{txt}
{com}. 
. *amount
. coefplot amount1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot amount2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  
{res}{txt}
{com}. 
. graph combine amount2 overhead2, scheme(plotplainblind) 
{res}{txt}
{com}. 
. 
. ********************************
. *Figure A15: Excluding LinkedIn*
. ********************************
. 
. gen linkedin=1 if data=="linkedin"
{txt}(2,534 missing values generated)

{com}. replace linkedin=0 if missing(linkedin)
{txt}(2,534 real changes made)

{com}. 
. eststo m1: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe ) ( overhead_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe ) if linkedin==0, indicators($cmp_cont $cmp_cont) iterate(50) difficult
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,450
{txt}{hline 13}{c +}{hline 34}   F(12, 2437)     = {res}    11.64
{txt}       Model {c |} {res} 10.6292435        12  .885770291   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  185.50341     2,437  .076119577   {txt}R-squared       ={res}    0.0542
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0495
{txt}       Total {c |} {res} 196.132653     2,449  .080086833   {txt}Root MSE        =   {res}  .2759

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0000751{col 33}{space 2} .0111813{col 44}{space 1}    0.01{col 53}{space 3}0.995{col 61}{space 4}-.0218508{col 74}{space 3}  .022001
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0002559{col 33}{space 2} .0111719{col 44}{space 1}   -0.02{col 53}{space 3}0.982{col 61}{space 4}-.0221634{col 74}{space 3} .0216515
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0034816{col 33}{space 2}  .011172{col 44}{space 1}   -0.31{col 53}{space 3}0.755{col 61}{space 4}-.0253891{col 74}{space 3}  .018426
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0220688{col 33}{space 2} .0111718{col 44}{space 1}   -1.98{col 53}{space 3}0.048{col 61}{space 4} -.043976{col 74}{space 3}-.0001617
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0548213{col 33}{space 2} .0111576{col 44}{space 1}   -4.91{col 53}{space 3}0.000{col 61}{space 4}-.0767007{col 74}{space 3}-.0329419
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0245516{col 33}{space 2} .0111549{col 44}{space 1}    2.20{col 53}{space 3}0.028{col 61}{space 4} .0026775{col 74}{space 3} .0464256
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} -.189201{col 33}{space 2} .0753663{col 44}{space 1}   -2.51{col 53}{space 3}0.012{col 61}{space 4}-.3369897{col 74}{space 3}-.0414123
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.1534916{col 33}{space 2} .0237303{col 44}{space 1}   -6.47{col 53}{space 3}0.000{col 61}{space 4}-.2000253{col 74}{space 3} -.106958
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.112291{col 33}{space 2} .0172083{col 44}{space 1}   -6.53{col 53}{space 3}0.000{col 61}{space 4}-.1460355{col 74}{space 3}-.0785466
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0814432{col 33}{space 2} .0346188{col 44}{space 1}    2.35{col 53}{space 3}0.019{col 61}{space 4} .0135579{col 74}{space 3} .1493284
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1299684{col 33}{space 2} .0235123{col 44}{space 1}   -5.53{col 53}{space 3}0.000{col 61}{space 4}-.1760744{col 74}{space 3}-.0838623
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.1452229{col 33}{space 2} .0190224{col 44}{space 1}   -7.63{col 53}{space 3}0.000{col 61}{space 4}-.1825247{col 74}{space 3}-.1079212
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2195336{col 33}{space 2} .0201152{col 44}{space 1}   10.91{col 53}{space 3}0.000{col 61}{space 4} .1800889{col 74}{space 3} .2589783
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.045751.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,321
{txt}{hline 13}{c +}{hline 34}   F(12, 2308)     = {res}     3.06
{txt}       Model {c |} {res} 7702.61765        12  641.884804   {txt}Prob > F        ={res}    0.0003
{txt}    Residual {c |} {res} 484765.355     2,308  210.036982   {txt}R-squared       ={res}    0.0156
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0105
{txt}       Total {c |} {res} 492467.973     2,320  212.270678   {txt}Root MSE        =   {res} 14.493

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.5769433{col 33}{space 2}  .603866{col 44}{space 1}   -0.96{col 53}{space 3}0.339{col 61}{space 4} -1.76112{col 74}{space 3} .6072334
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .5541007{col 33}{space 2} .6031625{col 44}{space 1}    0.92{col 53}{space 3}0.358{col 61}{space 4}-.6286965{col 74}{space 3} 1.736898
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .3457505{col 33}{space 2} .6034912{col 44}{space 1}    0.57{col 53}{space 3}0.567{col 61}{space 4}-.8376911{col 74}{space 3} 1.529192
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .3552307{col 33}{space 2} .6032104{col 44}{space 1}    0.59{col 53}{space 3}0.556{col 61}{space 4}-.8276604{col 74}{space 3} 1.538122
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.4003463{col 33}{space 2} .6028511{col 44}{space 1}   -0.66{col 53}{space 3}0.507{col 61}{space 4}-1.582533{col 74}{space 3} .7818401
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .5165564{col 33}{space 2} .6024954{col 44}{space 1}    0.86{col 53}{space 3}0.391{col 61}{space 4}-.6649324{col 74}{space 3} 1.698045
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-7.023823{col 33}{space 2} 3.973155{col 44}{space 1}   -1.77{col 53}{space 3}0.077{col 61}{space 4}-14.81515{col 74}{space 3} .7675033
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-3.772205{col 33}{space 2} 1.300352{col 44}{space 1}   -2.90{col 53}{space 3}0.004{col 61}{space 4}-6.322185{col 74}{space 3}-1.222225
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-4.205106{col 33}{space 2} .9677631{col 44}{space 1}   -4.35{col 53}{space 3}0.000{col 61}{space 4}-6.102882{col 74}{space 3} -2.30733
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-7.105704{col 33}{space 2} 2.071537{col 44}{space 1}   -3.43{col 53}{space 3}0.001{col 61}{space 4}-11.16797{col 74}{space 3}-3.043436
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-6.107217{col 33}{space 2} 1.288627{col 44}{space 1}   -4.74{col 53}{space 3}0.000{col 61}{space 4}-8.634206{col 74}{space 3}-3.580229
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-5.042745{col 33}{space 2}  1.06187{col 44}{space 1}   -4.75{col 53}{space 3}0.000{col 61}{space 4}-7.125064{col 74}{space 3}-2.960427
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 16.86222{col 33}{space 2} 1.122567{col 44}{space 1}   15.02{col 53}{space 3}0.000{col 61}{space 4} 14.66087{col 74}{space 3} 19.06357
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 21.20311.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res:-9805.9146}  
Iteration 1:{space 3}log likelihood = {res:-9804.8631}  
Iteration 2:{space 3}log likelihood = {res:-9804.8512}  
Iteration 3:{space 3}log likelihood = {res:-9804.8512}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     2,501
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    174.91
{txt}Log likelihood = {res}-9804.8512{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0000546{col 33}{space 2} .0111503{col 44}{space 1}    0.00{col 53}{space 3}0.996{col 61}{space 4}-.0217996{col 74}{space 3} .0219089
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0004683{col 33}{space 2} .0111413{col 44}{space 1}   -0.04{col 53}{space 3}0.966{col 61}{space 4}-.0223048{col 74}{space 3} .0213683
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0037307{col 33}{space 2} .0111415{col 44}{space 1}   -0.33{col 53}{space 3}0.738{col 61}{space 4}-.0255676{col 74}{space 3} .0181062
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0220937{col 33}{space 2} .0111407{col 44}{space 1}   -1.98{col 53}{space 3}0.047{col 61}{space 4}-.0439291{col 74}{space 3}-.0002582
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0550379{col 33}{space 2} .0111271{col 44}{space 1}   -4.95{col 53}{space 3}0.000{col 61}{space 4}-.0768465{col 74}{space 3}-.0332292
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0246621{col 33}{space 2}  .011124{col 44}{space 1}    2.22{col 53}{space 3}0.027{col 61}{space 4} .0028595{col 74}{space 3} .0464648
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.1891951{col 33}{space 2} .0751651{col 44}{space 1}   -2.52{col 53}{space 3}0.012{col 61}{space 4}-.3365161{col 74}{space 3}-.0418742
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.1534487{col 33}{space 2} .0236667{col 44}{space 1}   -6.48{col 53}{space 3}0.000{col 61}{space 4}-.1998347{col 74}{space 3}-.1070628
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.1121765{col 33}{space 2} .0171612{col 44}{space 1}   -6.54{col 53}{space 3}0.000{col 61}{space 4}-.1458119{col 74}{space 3}-.0785412
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0815157{col 33}{space 2} .0345262{col 44}{space 1}    2.36{col 53}{space 3}0.018{col 61}{space 4} .0138456{col 74}{space 3} .1491859
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1305441{col 33}{space 2} .0234481{col 44}{space 1}   -5.57{col 53}{space 3}0.000{col 61}{space 4}-.1765016{col 74}{space 3}-.0845865
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.1452364{col 33}{space 2} .0189711{col 44}{space 1}   -7.66{col 53}{space 3}0.000{col 61}{space 4}-.1824192{col 74}{space 3}-.1080537
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2197936{col 33}{space 2} .0200607{col 44}{space 1}   10.96{col 53}{space 3}0.000{col 61}{space 4} .1804754{col 74}{space 3} .2591119
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.5602418{col 33}{space 2} .6045123{col 44}{space 1}   -0.93{col 53}{space 3}0.354{col 61}{space 4}-1.745064{col 74}{space 3} .6245804
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .5349339{col 33}{space 2} .6038227{col 44}{space 1}    0.89{col 53}{space 3}0.376{col 61}{space 4}-.6485368{col 74}{space 3} 1.718405
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .3820478{col 33}{space 2} .6043058{col 44}{space 1}    0.63{col 53}{space 3}0.527{col 61}{space 4}-.8023699{col 74}{space 3} 1.566465
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .4557131{col 33}{space 2} .6054967{col 44}{space 1}    0.75{col 53}{space 3}0.452{col 61}{space 4}-.7310387{col 74}{space 3} 1.642465
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.1983524{col 33}{space 2} .6102424{col 44}{space 1}   -0.33{col 53}{space 3}0.745{col 61}{space 4}-1.394405{col 74}{space 3} .9977008
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  .388437{col 33}{space 2} .6058345{col 44}{space 1}    0.64{col 53}{space 3}0.521{col 61}{space 4}-.7989767{col 74}{space 3} 1.575851
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-6.183956{col 33}{space 2} 3.996369{col 44}{space 1}   -1.55{col 53}{space 3}0.122{col 61}{space 4} -14.0167{col 74}{space 3} 1.648784
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-3.031162{col 33}{space 2}  1.34356{col 44}{space 1}   -2.26{col 53}{space 3}0.024{col 61}{space 4}-5.664492{col 74}{space 3}-.3978321
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-3.693431{col 33}{space 2} .9953486{col 44}{space 1}   -3.71{col 53}{space 3}0.000{col 61}{space 4}-5.644279{col 74}{space 3}-1.742584
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-7.546587{col 33}{space 2} 2.081312{col 44}{space 1}   -3.63{col 53}{space 3}0.000{col 61}{space 4}-11.62588{col 74}{space 3} -3.46729
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-5.555345{col 33}{space 2} 1.313353{col 44}{space 1}   -4.23{col 53}{space 3}0.000{col 61}{space 4}-8.129469{col 74}{space 3} -2.98122
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-4.401856{col 33}{space 2} 1.101056{col 44}{space 1}   -4.00{col 53}{space 3}0.000{col 61}{space 4}-6.559886{col 74}{space 3}-2.243827
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  15.9089{col 33}{space 2} 1.202398{col 44}{space 1}   13.23{col 53}{space 3}0.000{col 61}{space 4} 13.55224{col 74}{space 3} 18.26555
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2}-1.290396{col 33}{space 2} .0142854{col 44}{space 1}  -90.33{col 53}{space 3}0.000{col 61}{space 4}-1.318395{col 74}{space 3}-1.262397
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} 2.675021{col 33}{space 2}  .015266{col 44}{space 1}  175.23{col 53}{space 3}0.000{col 61}{space 4} 2.645101{col 74}{space 3} 2.704942
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.1035944{col 33}{space 2} .0464811{col 44}{space 1}   -2.23{col 53}{space 3}0.026{col 61}{space 4}-.1946957{col 74}{space 3}-.0124931
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2} .2751618{col 33}{space 2} .0039308{col 61}{space 4} .2675644{col 74}{space 3} .2829749
{txt}              sig_2 {c |}{col 21}{res}{space 2} 14.51266{col 33}{space 2} .2215502{col 61}{space 4} 14.08486{col 74}{space 3} 14.95345
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.1032254{col 33}{space 2} .0459858{col 61}{space 4}-.1922724{col 74}{space 3}-.0124925
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,501
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 4}.487405 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 4}.512595 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5005998 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4994002 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4986006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5013994 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4918033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5081967 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.5013994 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.4986006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5097961 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4902039 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1383447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0055978 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.0891643 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.4230308 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0311875 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0951619 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 4}.217513 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .0874421{col 33}{space 2} .0079531{col 44}{space 1}   10.99{col 53}{space 3}0.000{col 61}{space 4} .0718543{col 74}{space 3} .1030299
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .0874968{col 33}{space 2} .0077944{col 44}{space 1}   11.23{col 53}{space 3}0.000{col 61}{space 4}   .07222{col 74}{space 3} .1027735
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  .087704{col 33}{space 2} .0078565{col 44}{space 1}   11.16{col 53}{space 3}0.000{col 61}{space 4} .0723054{col 74}{space 3} .1031025
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .0872357{col 33}{space 2} .0078839{col 44}{space 1}   11.07{col 53}{space 3}0.000{col 61}{space 4} .0717836{col 74}{space 3} .1026879
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .0893407{col 33}{space 2} .0078881{col 44}{space 1}   11.33{col 53}{space 3}0.000{col 61}{space 4} .0738804{col 74}{space 3}  .104801
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}   .08561{col 33}{space 2} .0078525{col 44}{space 1}   10.90{col 53}{space 3}0.000{col 61}{space 4} .0702194{col 74}{space 3} .1010006
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .0986981{col 33}{space 2}  .007945{col 44}{space 1}   12.42{col 53}{space 3}0.000{col 61}{space 4} .0831261{col 74}{space 3}   .11427
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .0766044{col 33}{space 2} .0077957{col 44}{space 1}    9.83{col 53}{space 3}0.000{col 61}{space 4} .0613251{col 74}{space 3} .0918836
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2}  .114912{col 33}{space 2} .0078431{col 44}{space 1}   14.65{col 53}{space 3}0.000{col 61}{space 4} .0995399{col 74}{space 3} .1302842
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0598742{col 33}{space 2} .0078873{col 44}{space 1}    7.59{col 53}{space 3}0.000{col 61}{space 4} .0444153{col 74}{space 3}  .075333
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .0753807{col 33}{space 2} .0077897{col 44}{space 1}    9.68{col 53}{space 3}0.000{col 61}{space 4} .0601131{col 74}{space 3} .0906482
{txt}Private foundation  {c |}{col 21}{res}{space 2} .1000428{col 33}{space 2} .0079392{col 44}{space 1}   12.60{col 53}{space 3}0.000{col 61}{space 4} .0844823{col 74}{space 3} .1156033
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .1911369{col 33}{space 2}  .014836{col 44}{space 1}   12.88{col 53}{space 3}0.000{col 61}{space 4} .1620588{col 74}{space 3} .2202149
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .0019417{col 33}{space 2} .0736822{col 44}{space 1}    0.03{col 53}{space 3}0.979{col 61}{space 4}-.1424727{col 74}{space 3} .1463561
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .0376881{col 33}{space 2} .0184423{col 44}{space 1}    2.04{col 53}{space 3}0.041{col 61}{space 4} .0015419{col 74}{space 3} .0738343
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .0789603{col 33}{space 2}  .008624{col 44}{space 1}    9.16{col 53}{space 3}0.000{col 61}{space 4} .0620576{col 74}{space 3}  .095863
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2726526{col 33}{space 2} .0311761{col 44}{space 1}    8.75{col 53}{space 3}0.000{col 61}{space 4} .2115485{col 74}{space 3} .3337566
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0605928{col 33}{space 2} .0181607{col 44}{space 1}    3.34{col 53}{space 3}0.001{col 61}{space 4} .0249985{col 74}{space 3} .0961871
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0459004{col 33}{space 2} .0118226{col 44}{space 1}    3.88{col 53}{space 3}0.000{col 61}{space 4} .0227286{col 74}{space 3} .0690722
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead1
{txt}
{com}. 
. eststo m2: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe ) ( overhead_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe )  if linkedin==0, indicators($cmp_probit $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}note: 2.io_fe != 0 predicts failure perfectly
      2.io_fe dropped and 14 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-727.12701}  
Iteration 1:{space 3}log likelihood = {res: -670.0873}  
Iteration 2:{space 3}log likelihood = {res:-668.62346}  
Iteration 3:{space 3}log likelihood = {res:-668.62101}  
Iteration 4:{space 3}log likelihood = {res:-668.62101}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     2,436
{txt}{col 49}LR chi2({res}11{txt}){col 67}= {res}    117.01
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-668.62101{txt}{col 49}Pseudo R2{col 67}= {res}    0.0805

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0153664{col 33}{space 2}  .075406{col 44}{space 1}    0.20{col 53}{space 3}0.839{col 61}{space 4}-.1324267{col 74}{space 3} .1631595
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0022144{col 33}{space 2} .0754303{col 44}{space 1}   -0.03{col 53}{space 3}0.977{col 61}{space 4}-.1500549{col 74}{space 3} .1456262
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.013113{col 33}{space 2} .0752449{col 44}{space 1}   -0.17{col 53}{space 3}0.862{col 61}{space 4}-.1605904{col 74}{space 3} .1343644
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1650494{col 33}{space 2} .0755741{col 44}{space 1}   -2.18{col 53}{space 3}0.029{col 61}{space 4}-.3131719{col 74}{space 3}-.0169269
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.3799635{col 33}{space 2} .0770578{col 44}{space 1}   -4.93{col 53}{space 3}0.000{col 61}{space 4} -.530994{col 74}{space 3} -.228933
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1525283{col 33}{space 2} .0753876{col 44}{space 1}    2.02{col 53}{space 3}0.043{col 61}{space 4} .0047713{col 74}{space 3} .3002854
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (empty)
{space 17}3  {c |}{col 21}{res}{space 2}-.9226539{col 33}{space 2} .1747647{col 44}{space 1}   -5.28{col 53}{space 3}0.000{col 61}{space 4}-1.265186{col 74}{space 3}-.5801213
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.5543741{col 33}{space 2} .0978409{col 44}{space 1}   -5.67{col 53}{space 3}0.000{col 61}{space 4}-.7461388{col 74}{space 3}-.3626094
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2784742{col 33}{space 2} .1733944{col 44}{space 1}    1.61{col 53}{space 3}0.108{col 61}{space 4}-.0613727{col 74}{space 3}  .618321
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.6852941{col 33}{space 2} .1541136{col 44}{space 1}   -4.45{col 53}{space 3}0.000{col 61}{space 4}-.9873512{col 74}{space 3} -.383237
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.8386304{col 33}{space 2} .1235541{col 44}{space 1}   -6.79{col 53}{space 3}0.000{col 61}{space 4}-1.080792{col 74}{space 3}-.5964689
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.6939995{col 33}{space 2} .1203279{col 44}{space 1}   -5.77{col 53}{space 3}0.000{col 61}{space 4}-.9298378{col 74}{space 3}-.4581611
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}Warning: 2.io_fe perfectly predicts success or failure in refuse.
It will be dropped from the full model.
Perfectly predicted observations will be dropped from the estimation sample for this equation.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,321
{txt}{hline 13}{c +}{hline 34}   F(12, 2308)     = {res}     3.06
{txt}       Model {c |} {res} 7702.61765        12  641.884804   {txt}Prob > F        ={res}    0.0003
{txt}    Residual {c |} {res} 484765.355     2,308  210.036982   {txt}R-squared       ={res}    0.0156
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0105
{txt}       Total {c |} {res} 492467.973     2,320  212.270678   {txt}Root MSE        =   {res} 14.493

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.5769433{col 33}{space 2}  .603866{col 44}{space 1}   -0.96{col 53}{space 3}0.339{col 61}{space 4} -1.76112{col 74}{space 3} .6072334
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .5541007{col 33}{space 2} .6031625{col 44}{space 1}    0.92{col 53}{space 3}0.358{col 61}{space 4}-.6286965{col 74}{space 3} 1.736898
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .3457505{col 33}{space 2} .6034912{col 44}{space 1}    0.57{col 53}{space 3}0.567{col 61}{space 4}-.8376911{col 74}{space 3} 1.529192
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .3552307{col 33}{space 2} .6032104{col 44}{space 1}    0.59{col 53}{space 3}0.556{col 61}{space 4}-.8276604{col 74}{space 3} 1.538122
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.4003463{col 33}{space 2} .6028511{col 44}{space 1}   -0.66{col 53}{space 3}0.507{col 61}{space 4}-1.582533{col 74}{space 3} .7818401
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .5165564{col 33}{space 2} .6024954{col 44}{space 1}    0.86{col 53}{space 3}0.391{col 61}{space 4}-.6649324{col 74}{space 3} 1.698045
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-7.023823{col 33}{space 2} 3.973155{col 44}{space 1}   -1.77{col 53}{space 3}0.077{col 61}{space 4}-14.81515{col 74}{space 3} .7675033
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-3.772205{col 33}{space 2} 1.300352{col 44}{space 1}   -2.90{col 53}{space 3}0.004{col 61}{space 4}-6.322185{col 74}{space 3}-1.222225
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-4.205106{col 33}{space 2} .9677631{col 44}{space 1}   -4.35{col 53}{space 3}0.000{col 61}{space 4}-6.102882{col 74}{space 3} -2.30733
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-7.105704{col 33}{space 2} 2.071537{col 44}{space 1}   -3.43{col 53}{space 3}0.001{col 61}{space 4}-11.16797{col 74}{space 3}-3.043436
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-6.107217{col 33}{space 2} 1.288627{col 44}{space 1}   -4.74{col 53}{space 3}0.000{col 61}{space 4}-8.634206{col 74}{space 3}-3.580229
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-5.042745{col 33}{space 2}  1.06187{col 44}{space 1}   -4.75{col 53}{space 3}0.000{col 61}{space 4}-7.125064{col 74}{space 3}-2.960427
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 16.86222{col 33}{space 2} 1.122567{col 44}{space 1}   15.02{col 53}{space 3}0.000{col 61}{space 4} 14.66087{col 74}{space 3} 19.06357
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}overhead_clean{res} equation appears ill-conditioned. (Condition number = 21.20311.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res:-10160.089}  
Iteration 1:{space 3}log likelihood = {res:-10143.532}  
Iteration 2:{space 3}log likelihood = {res:-10131.449}  
Iteration 3:{space 3}log likelihood = {res:-10113.056}  
Iteration 4:{space 3}log likelihood = {res:-10112.785}  
Iteration 5:{space 3}log likelihood = {res:-10112.784}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     2,501
{txt}{col 49}LR chi2({res}23{txt}){col 67}= {res}    103.73
{txt}Log likelihood = {res}-10112.784{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.014666{col 33}{space 2} .0650446{col 44}{space 1}   -0.23{col 53}{space 3}0.822{col 61}{space 4}-.1421512{col 74}{space 3} .1128191
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0245424{col 33}{space 2}  .065067{col 44}{space 1}   -0.38{col 53}{space 3}0.706{col 61}{space 4}-.1520715{col 74}{space 3} .1029866
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0593756{col 33}{space 2} .0650126{col 44}{space 1}   -0.91{col 53}{space 3}0.361{col 61}{space 4}-.1867981{col 74}{space 3} .0680468
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1246896{col 33}{space 2} .0652558{col 44}{space 1}   -1.91{col 53}{space 3}0.056{col 61}{space 4}-.2525886{col 74}{space 3} .0032094
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.3149711{col 33}{space 2} .0671708{col 44}{space 1}   -4.69{col 53}{space 3}0.000{col 61}{space 4}-.4466235{col 74}{space 3}-.1833187
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1402264{col 33}{space 2} .0651341{col 44}{space 1}    2.15{col 53}{space 3}0.031{col 61}{space 4} .0125658{col 74}{space 3} .2678869
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 17}3  {c |}{col 21}{res}{space 2}-.4947439{col 33}{space 2} .1498548{col 44}{space 1}   -3.30{col 53}{space 3}0.001{col 61}{space 4} -.788454{col 74}{space 3}-.2010338
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.2161649{col 33}{space 2} .0895876{col 44}{space 1}   -2.41{col 53}{space 3}0.016{col 61}{space 4}-.3917534{col 74}{space 3}-.0405763
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .4763573{col 33}{space 2}  .163413{col 44}{space 1}    2.92{col 53}{space 3}0.004{col 61}{space 4} .1560737{col 74}{space 3}  .796641
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.2816065{col 33}{space 2} .1403245{col 44}{space 1}   -2.01{col 53}{space 3}0.045{col 61}{space 4}-.5566374{col 74}{space 3}-.0065756
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.3921383{col 33}{space 2} .1116447{col 44}{space 1}   -3.51{col 53}{space 3}0.000{col 61}{space 4}-.6109578{col 74}{space 3}-.1733187
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} -.724608{col 33}{space 2} .1059908{col 44}{space 1}   -6.84{col 53}{space 3}0.000{col 61}{space 4}-.9323462{col 74}{space 3}-.5168698
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}overhead_clean      {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.5232128{col 33}{space 2} .6196339{col 44}{space 1}   -0.84{col 53}{space 3}0.398{col 61}{space 4}-1.737673{col 74}{space 3} .6912472
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .4670638{col 33}{space 2} .6188651{col 44}{space 1}    0.75{col 53}{space 3}0.450{col 61}{space 4}-.7458895{col 74}{space 3} 1.680017
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .4385742{col 33}{space 2} .6190542{col 44}{space 1}    0.71{col 53}{space 3}0.479{col 61}{space 4}-.7747497{col 74}{space 3} 1.651898
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .6874933{col 33}{space 2} .6189087{col 44}{space 1}    1.11{col 53}{space 3}0.267{col 61}{space 4}-.5255455{col 74}{space 3} 1.900532
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .2357011{col 33}{space 2} .6185978{col 44}{space 1}    0.38{col 53}{space 3}0.703{col 61}{space 4}-.9767284{col 74}{space 3} 1.448131
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}   .10304{col 33}{space 2} .6182142{col 44}{space 1}    0.17{col 53}{space 3}0.868{col 61}{space 4}-1.108638{col 74}{space 3} 1.314718
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-3.763322{col 33}{space 2} 4.138443{col 44}{space 1}   -0.91{col 53}{space 3}0.363{col 61}{space 4}-11.87452{col 74}{space 3} 4.347878
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.9235753{col 33}{space 2} 1.333635{col 44}{space 1}   -0.69{col 53}{space 3}0.489{col 61}{space 4}-3.537452{col 74}{space 3} 1.690301
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-2.191413{col 33}{space 2} .9800278{col 44}{space 1}   -2.24{col 53}{space 3}0.025{col 61}{space 4}-4.112232{col 74}{space 3}-.2705939
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-7.977276{col 33}{space 2} 2.055127{col 44}{space 1}   -3.88{col 53}{space 3}0.000{col 61}{space 4}-12.00525{col 74}{space 3}-3.949301
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-3.951199{col 33}{space 2} 1.315196{col 44}{space 1}   -3.00{col 53}{space 3}0.003{col 61}{space 4}-6.528935{col 74}{space 3}-1.373463
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-2.575007{col 33}{space 2} 1.080795{col 44}{space 1}   -2.38{col 53}{space 3}0.017{col 61}{space 4}-4.693326{col 74}{space 3}-.4566883
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 13.25868{col 33}{space 2} 1.142878{col 44}{space 1}   11.60{col 53}{space 3}0.000{col 61}{space 4} 11.01868{col 74}{space 3} 15.49868
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2} 2.715821{col 33}{space 2} .0154058{col 44}{space 1}  176.29{col 53}{space 3}0.000{col 61}{space 4} 2.685627{col 74}{space 3} 2.746016
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-1.057764{col 33}{space 2} .0528321{col 44}{space 1}  -20.02{col 53}{space 3}0.000{col 61}{space 4}-1.161313{col 74}{space 3}-.9542152
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 15.11702{col 33}{space 2}   .23289{col 61}{space 4} 14.66739{col 74}{space 3} 15.58044
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.7848067{col 33}{space 2} .0202917{col 61}{space 4}-.8214674{col 74}{space 3}-.7416854
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,501
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 4}.487405 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 4}.512595 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5005998 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4994002 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4986006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5013994 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4918033 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5081967 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.5013994 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.4986006 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5097961 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4902039 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1383447 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0055978 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.0891643 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.4230308 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0311875 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0951619 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 4}.217513 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  12.0139{col 33}{space 2} .4449187{col 44}{space 1}   27.00{col 53}{space 3}0.000{col 61}{space 4} 11.14188{col 74}{space 3} 12.88593
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 11.49069{col 33}{space 2} .4330533{col 44}{space 1}   26.53{col 53}{space 3}0.000{col 61}{space 4} 10.64192{col 74}{space 3} 12.33946
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 11.51245{col 33}{space 2} .4381163{col 44}{space 1}   26.28{col 53}{space 3}0.000{col 61}{space 4} 10.65376{col 74}{space 3} 12.37115
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 11.97952{col 33}{space 2} .4392337{col 44}{space 1}   27.27{col 53}{space 3}0.000{col 61}{space 4} 11.11863{col 74}{space 3}  12.8404
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  11.5258{col 33}{space 2} .4400025{col 44}{space 1}   26.19{col 53}{space 3}0.000{col 61}{space 4} 10.66342{col 74}{space 3} 12.38819
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 11.96438{col 33}{space 2} .4374822{col 44}{space 1}   27.35{col 53}{space 3}0.000{col 61}{space 4} 11.10693{col 74}{space 3} 12.82183
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 11.39632{col 33}{space 2} .4439082{col 44}{space 1}   25.67{col 53}{space 3}0.000{col 61}{space 4} 10.52628{col 74}{space 3} 12.26637
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 12.08382{col 33}{space 2} .4335223{col 44}{space 1}   27.87{col 53}{space 3}0.000{col 61}{space 4} 11.23413{col 74}{space 3}  12.9335
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} 11.62818{col 33}{space 2} .4413945{col 44}{space 1}   26.34{col 53}{space 3}0.000{col 61}{space 4} 10.76307{col 74}{space 3}  12.4933
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 11.86389{col 33}{space 2} .4357308{col 44}{space 1}   27.23{col 53}{space 3}0.000{col 61}{space 4} 11.00987{col 74}{space 3}  12.7179
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 11.69519{col 33}{space 2} .4318687{col 44}{space 1}   27.08{col 53}{space 3}0.000{col 61}{space 4} 10.84875{col 74}{space 3} 12.54164
{txt}Private foundation  {c |}{col 21}{res}{space 2} 11.79823{col 33}{space 2} .4450977{col 44}{space 1}   26.51{col 53}{space 3}0.000{col 61}{space 4} 10.92586{col 74}{space 3} 12.67061
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 13.96105{col 33}{space 2} .8607053{col 44}{space 1}   16.22{col 53}{space 3}0.000{col 61}{space 4}  12.2741{col 74}{space 3}   15.648
{txt}{space 17}2  {c |}{col 21}{res}{space 2} 10.19773{col 33}{space 2} 4.048151{col 44}{space 1}    2.52{col 53}{space 3}0.012{col 61}{space 4} 2.263497{col 74}{space 3} 18.13196
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 13.03747{col 33}{space 2} 1.019078{col 44}{space 1}   12.79{col 53}{space 3}0.000{col 61}{space 4} 11.04012{col 74}{space 3} 15.03483
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 11.76964{col 33}{space 2} .4741892{col 44}{space 1}   24.82{col 53}{space 3}0.000{col 61}{space 4} 10.84024{col 74}{space 3} 12.69903
{txt}{space 17}5  {c |}{col 21}{res}{space 2} 5.983774{col 33}{space 2} 1.871952{col 44}{space 1}    3.20{col 53}{space 3}0.001{col 61}{space 4} 2.314814{col 74}{space 3} 9.652733
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 10.00985{col 33}{space 2} .9968004{col 44}{space 1}   10.04{col 53}{space 3}0.000{col 61}{space 4} 8.056157{col 74}{space 3} 11.96354
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 11.38604{col 33}{space 2} .6556003{col 44}{space 1}   17.37{col 53}{space 3}0.000{col 61}{space 4} 10.10109{col 74}{space 3} 12.67099
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo overhead2
{txt}
{com}. 
. *amount
. eststo m5: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe ) ( amount_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe )  if linkedin==0, indicators($cmp_cont $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,450
{txt}{hline 13}{c +}{hline 34}   F(12, 2437)     = {res}    11.64
{txt}       Model {c |} {res} 10.6292435        12  .885770291   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  185.50341     2,437  .076119577   {txt}R-squared       ={res}    0.0542
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0495
{txt}       Total {c |} {res} 196.132653     2,449  .080086833   {txt}Root MSE        =   {res}  .2759

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0000751{col 33}{space 2} .0111813{col 44}{space 1}    0.01{col 53}{space 3}0.995{col 61}{space 4}-.0218508{col 74}{space 3}  .022001
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0002559{col 33}{space 2} .0111719{col 44}{space 1}   -0.02{col 53}{space 3}0.982{col 61}{space 4}-.0221634{col 74}{space 3} .0216515
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0034816{col 33}{space 2}  .011172{col 44}{space 1}   -0.31{col 53}{space 3}0.755{col 61}{space 4}-.0253891{col 74}{space 3}  .018426
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0220688{col 33}{space 2} .0111718{col 44}{space 1}   -1.98{col 53}{space 3}0.048{col 61}{space 4} -.043976{col 74}{space 3}-.0001617
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0548213{col 33}{space 2} .0111576{col 44}{space 1}   -4.91{col 53}{space 3}0.000{col 61}{space 4}-.0767007{col 74}{space 3}-.0329419
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0245516{col 33}{space 2} .0111549{col 44}{space 1}    2.20{col 53}{space 3}0.028{col 61}{space 4} .0026775{col 74}{space 3} .0464256
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2} -.189201{col 33}{space 2} .0753663{col 44}{space 1}   -2.51{col 53}{space 3}0.012{col 61}{space 4}-.3369897{col 74}{space 3}-.0414123
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.1534916{col 33}{space 2} .0237303{col 44}{space 1}   -6.47{col 53}{space 3}0.000{col 61}{space 4}-.2000253{col 74}{space 3} -.106958
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.112291{col 33}{space 2} .0172083{col 44}{space 1}   -6.53{col 53}{space 3}0.000{col 61}{space 4}-.1460355{col 74}{space 3}-.0785466
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .0814432{col 33}{space 2} .0346188{col 44}{space 1}    2.35{col 53}{space 3}0.019{col 61}{space 4} .0135579{col 74}{space 3} .1493284
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.1299684{col 33}{space 2} .0235123{col 44}{space 1}   -5.53{col 53}{space 3}0.000{col 61}{space 4}-.1760744{col 74}{space 3}-.0838623
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.1452229{col 33}{space 2} .0190224{col 44}{space 1}   -7.63{col 53}{space 3}0.000{col 61}{space 4}-.1825247{col 74}{space 3}-.1079212
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2195336{col 33}{space 2} .0201152{col 44}{space 1}   10.91{col 53}{space 3}0.000{col 61}{space 4} .1800889{col 74}{space 3} .2589783
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}refuse{res} equation appears ill-conditioned. (Condition number = 20.045751.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,270
{txt}{hline 13}{c +}{hline 34}   F(12, 2257)     = {res}     2.98
{txt}       Model {c |} {res} 6321.49015        12  526.790846   {txt}Prob > F        ={res}    0.0004
{txt}    Residual {c |} {res} 399384.451     2,257  176.953678   {txt}R-squared       ={res}    0.0156
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0103
{txt}       Total {c |} {res} 405705.941     2,269  178.803852   {txt}Root MSE        =   {res} 13.302

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0121376{col 33}{space 2}  .560205{col 44}{space 1}   -0.02{col 53}{space 3}0.983{col 61}{space 4}-1.110708{col 74}{space 3} 1.086433
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .5696113{col 33}{space 2}  .559716{col 44}{space 1}    1.02{col 53}{space 3}0.309{col 61}{space 4}-.5280005{col 74}{space 3} 1.667223
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.4881496{col 33}{space 2} .5602969{col 44}{space 1}   -0.87{col 53}{space 3}0.384{col 61}{space 4}-1.586901{col 74}{space 3} .6106015
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.7381052{col 33}{space 2} .5600108{col 44}{space 1}   -1.32{col 53}{space 3}0.188{col 61}{space 4}-1.836295{col 74}{space 3} .3600848
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 2.574962{col 33}{space 2} .5594894{col 44}{space 1}    4.60{col 53}{space 3}0.000{col 61}{space 4} 1.477795{col 74}{space 3}  3.67213
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .3679315{col 33}{space 2} .5591932{col 44}{space 1}    0.66{col 53}{space 3}0.511{col 61}{space 4}-.7286551{col 74}{space 3} 1.464518
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-4.792265{col 33}{space 2}  3.64772{col 44}{space 1}   -1.31{col 53}{space 3}0.189{col 61}{space 4} -11.9455{col 74}{space 3}  2.36097
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-1.305825{col 33}{space 2} 1.198377{col 44}{space 1}   -1.09{col 53}{space 3}0.276{col 61}{space 4}-3.655862{col 74}{space 3} 1.044212
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.614964{col 33}{space 2} .8927697{col 44}{space 1}   -1.81{col 53}{space 3}0.071{col 61}{space 4}-3.365699{col 74}{space 3} .1357715
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-3.386642{col 33}{space 2} 1.838401{col 44}{space 1}   -1.84{col 53}{space 3}0.066{col 61}{space 4}-6.991775{col 74}{space 3}   .21849
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.177003{col 33}{space 2} 1.196961{col 44}{space 1}   -1.82{col 53}{space 3}0.069{col 61}{space 4}-4.524262{col 74}{space 3} .1702565
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0094065{col 33}{space 2} .9749208{col 44}{space 1}   -0.01{col 53}{space 3}0.992{col 61}{space 4}-1.921241{col 74}{space 3} 1.902428
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  3.70395{col 33}{space 2} 1.034463{col 44}{space 1}    3.58{col 53}{space 3}0.000{col 61}{space 4} 1.675353{col 74}{space 3} 5.732548
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}amount_clean{res} equation appears ill-conditioned. (Condition number = 21.116111.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res: -9404.014}  
Iteration 1:{space 3}log likelihood = {res:-9403.8502}  
Iteration 2:{space 3}log likelihood = {res:-9403.8487}  
Iteration 3:{space 3}log likelihood = {res:-9403.8487}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     2,471
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    172.28
{txt}Log likelihood = {res}-9403.8487{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  .000081{col 33}{space 2} .0111515{col 44}{space 1}    0.01{col 53}{space 3}0.994{col 61}{space 4}-.0217754{col 74}{space 3} .0219375
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0002342{col 33}{space 2} .0111421{col 44}{space 1}   -0.02{col 53}{space 3}0.983{col 61}{space 4}-.0220724{col 74}{space 3}  .021604
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0034626{col 33}{space 2} .0111422{col 44}{space 1}   -0.31{col 53}{space 3}0.756{col 61}{space 4}-.0253008{col 74}{space 3} .0183756
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0221147{col 33}{space 2} .0111422{col 44}{space 1}   -1.98{col 53}{space 3}0.047{col 61}{space 4}-.0439529{col 74}{space 3}-.0002765
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0547983{col 33}{space 2} .0111279{col 44}{space 1}   -4.92{col 53}{space 3}0.000{col 61}{space 4}-.0766085{col 74}{space 3} -.032988
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0245787{col 33}{space 2} .0111251{col 44}{space 1}    2.21{col 53}{space 3}0.027{col 61}{space 4} .0027739{col 74}{space 3} .0463836
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-.1891215{col 33}{space 2} .0751657{col 44}{space 1}   -2.52{col 53}{space 3}0.012{col 61}{space 4}-.3364435{col 74}{space 3}-.0417994
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.1534604{col 33}{space 2}  .023667{col 44}{space 1}   -6.48{col 53}{space 3}0.000{col 61}{space 4}-.1998469{col 74}{space 3}-.1070739
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.1122331{col 33}{space 2} .0171626{col 44}{space 1}   -6.54{col 53}{space 3}0.000{col 61}{space 4}-.1458711{col 74}{space 3}-.0785951
{txt}{space 17}5  {c |}{col 21}{res}{space 2}  .081537{col 33}{space 2} .0345246{col 44}{space 1}    2.36{col 53}{space 3}0.018{col 61}{space 4} .0138701{col 74}{space 3} .1492039
{txt}{space 17}6  {c |}{col 21}{res}{space 2} -.129897{col 33}{space 2} .0234498{col 44}{space 1}   -5.54{col 53}{space 3}0.000{col 61}{space 4}-.1758578{col 74}{space 3}-.0839363
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.1451701{col 33}{space 2} .0189717{col 44}{space 1}   -7.65{col 53}{space 3}0.000{col 61}{space 4} -.182354{col 74}{space 3}-.1079862
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .2194359{col 33}{space 2}  .020062{col 44}{space 1}   10.94{col 53}{space 3}0.000{col 61}{space 4} .1801152{col 74}{space 3} .2587567
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}amount_clean        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0291692{col 33}{space 2}  .559692{col 44}{space 1}   -0.05{col 53}{space 3}0.958{col 61}{space 4}-1.126145{col 74}{space 3} 1.067807
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .5793358{col 33}{space 2}  .558792{col 44}{space 1}    1.04{col 53}{space 3}0.300{col 61}{space 4}-.5158764{col 74}{space 3} 1.674548
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.4805441{col 33}{space 2} .5592932{col 44}{space 1}   -0.86{col 53}{space 3}0.390{col 61}{space 4}-1.576739{col 74}{space 3} .6156504
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.6875343{col 33}{space 2}  .564257{col 44}{space 1}   -1.22{col 53}{space 3}0.223{col 61}{space 4}-1.793458{col 74}{space 3}  .418389
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 2.691996{col 33}{space 2} .5865958{col 44}{space 1}    4.59{col 53}{space 3}0.000{col 61}{space 4} 1.542289{col 74}{space 3} 3.841703
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .3129541{col 33}{space 2} .5644231{col 44}{space 1}    0.55{col 53}{space 3}0.579{col 61}{space 4}-.7932948{col 74}{space 3} 1.419203
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-4.437819{col 33}{space 2}  3.68117{col 44}{space 1}   -1.21{col 53}{space 3}0.228{col 61}{space 4}-11.65278{col 74}{space 3} 2.777141
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-1.033853{col 33}{space 2}  1.26684{col 44}{space 1}   -0.82{col 53}{space 3}0.414{col 61}{space 4}-3.516814{col 74}{space 3} 1.449108
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.423475{col 33}{space 2} .9382346{col 44}{space 1}   -1.52{col 53}{space 3}0.129{col 61}{space 4}-3.262381{col 74}{space 3} .4154309
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-3.540153{col 33}{space 2} 1.849533{col 44}{space 1}   -1.91{col 53}{space 3}0.056{col 61}{space 4}-7.165171{col 74}{space 3} .0848654
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-1.955668{col 33}{space 2} 1.241982{col 44}{space 1}   -1.57{col 53}{space 3}0.115{col 61}{space 4}-4.389908{col 74}{space 3}  .478573
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .2492493{col 33}{space 2} 1.050941{col 44}{space 1}    0.24{col 53}{space 3}0.813{col 61}{space 4}-1.810557{col 74}{space 3} 2.309055
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 3.291846{col 33}{space 2} 1.210997{col 44}{space 1}    2.72{col 53}{space 3}0.007{col 61}{space 4} .9183364{col 74}{space 3} 5.665356
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_1 {c |}{col 21}{res}{space 2}-1.290392{col 33}{space 2} .0142855{col 44}{space 1}  -90.33{col 53}{space 3}0.000{col 61}{space 4}-1.318391{col 74}{space 3}-1.262393
{txt}           /lnsig_2 {c |}{col 21}{res}{space 2} 2.586019{col 33}{space 2} .0151506{col 44}{space 1}  170.69{col 53}{space 3}0.000{col 61}{space 4} 2.556324{col 74}{space 3} 2.615714
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-.0456729{col 33}{space 2} .0701147{col 44}{space 1}   -0.65{col 53}{space 3}0.515{col 61}{space 4}-.1830951{col 74}{space 3} .0917493
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_1 {c |}{col 21}{res}{space 2}  .275163{col 33}{space 2} .0039309{col 61}{space 4} .2675655{col 74}{space 3} .2829762
{txt}              sig_2 {c |}{col 21}{res}{space 2} 13.27681{col 33}{space 2} .2011521{col 61}{space 4} 12.88836{col 74}{space 3} 13.67698
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.0456411{col 33}{space 2} .0699686{col 61}{space 4}-.1810762{col 74}{space 3} .0914928
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#1)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,471
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.4904897 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.5095103 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5014164 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4985836 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4973695 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5026305 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4884662 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5115338 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.5034399 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.4965601 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5091056 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4908944 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1408337 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0056657 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.0906516 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.4148118 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0339943 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0930797 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.2209632 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .0881865{col 33}{space 2} .0079505{col 44}{space 1}   11.09{col 53}{space 3}0.000{col 61}{space 4} .0726038{col 74}{space 3} .1037692
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .0882676{col 33}{space 2} .0077982{col 44}{space 1}   11.32{col 53}{space 3}0.000{col 61}{space 4} .0729834{col 74}{space 3} .1035517
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .0883446{col 33}{space 2} .0078582{col 44}{space 1}   11.24{col 53}{space 3}0.000{col 61}{space 4} .0729428{col 74}{space 3} .1037464
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .0881104{col 33}{space 2} .0078831{col 44}{space 1}   11.18{col 53}{space 3}0.000{col 61}{space 4} .0726597{col 74}{space 3} .1035611
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .0899682{col 33}{space 2}  .007887{col 44}{space 1}   11.41{col 53}{space 3}0.000{col 61}{space 4}   .07451{col 74}{space 3} .1054265
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .0865056{col 33}{space 2} .0078544{col 44}{space 1}   11.01{col 53}{space 3}0.000{col 61}{space 4} .0711113{col 74}{space 3} .1018999
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} .0995402{col 33}{space 2} .0079441{col 44}{space 1}   12.53{col 53}{space 3}0.000{col 61}{space 4} .0839701{col 74}{space 3} .1151104
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} .0774255{col 33}{space 2} .0077979{col 44}{space 1}    9.93{col 53}{space 3}0.000{col 61}{space 4}  .062142{col 74}{space 3}  .092709
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .1154384{col 33}{space 2} .0078445{col 44}{space 1}   14.72{col 53}{space 3}0.000{col 61}{space 4} .1000636{col 74}{space 3} .1308133
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} .0606402{col 33}{space 2} .0078868{col 44}{space 1}    7.69{col 53}{space 3}0.000{col 61}{space 4} .0451823{col 74}{space 3} .0760981
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} .0761622{col 33}{space 2} .0077909{col 44}{space 1}    9.78{col 53}{space 3}0.000{col 61}{space 4} .0608924{col 74}{space 3}  .091432
{txt}Private foundation  {c |}{col 21}{res}{space 2}  .100741{col 33}{space 2} .0079392{col 44}{space 1}   12.69{col 53}{space 3}0.000{col 61}{space 4} .0851805{col 74}{space 3} .1163015
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} .1911626{col 33}{space 2} .0148369{col 44}{space 1}   12.88{col 53}{space 3}0.000{col 61}{space 4} .1620829{col 74}{space 3} .2202423
{txt}{space 17}2  {c |}{col 21}{res}{space 2} .0020411{col 33}{space 2} .0736844{col 44}{space 1}    0.03{col 53}{space 3}0.978{col 61}{space 4}-.1423776{col 74}{space 3} .1464598
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .0377022{col 33}{space 2} .0184421{col 44}{space 1}    2.04{col 53}{space 3}0.041{col 61}{space 4} .0015563{col 74}{space 3} .0738481
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .0789295{col 33}{space 2} .0086247{col 44}{space 1}    9.15{col 53}{space 3}0.000{col 61}{space 4} .0620254{col 74}{space 3} .0958336
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2726996{col 33}{space 2} .0311746{col 44}{space 1}    8.75{col 53}{space 3}0.000{col 61}{space 4} .2115985{col 74}{space 3} .3338007
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .0612655{col 33}{space 2} .0181633{col 44}{space 1}    3.37{col 53}{space 3}0.001{col 61}{space 4} .0256661{col 74}{space 3} .0968649
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .0459925{col 33}{space 2} .0118226{col 44}{space 1}    3.89{col 53}{space 3}0.000{col 61}{space 4} .0228207{col 74}{space 3} .0691643
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount1
{txt}
{com}. 
. eststo m6: cmp (refuse = i.country i.sector i.project i.own_area i.length i.source i.io_fe ) ( amount_clean = i.country i.sector i.project i.own_area i.length i.source i.io_fe ) if linkedin==0, indicators($cmp_probit $cmp_cont) iterate(50) difficult 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}note: 2.io_fe != 0 predicts failure perfectly
      2.io_fe dropped and 14 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-727.12701}  
Iteration 1:{space 3}log likelihood = {res: -670.0873}  
Iteration 2:{space 3}log likelihood = {res:-668.62346}  
Iteration 3:{space 3}log likelihood = {res:-668.62101}  
Iteration 4:{space 3}log likelihood = {res:-668.62101}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}     2,436
{txt}{col 49}LR chi2({res}11{txt}){col 67}= {res}    117.01
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-668.62101{txt}{col 49}Pseudo R2{col 67}= {res}    0.0805

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0153664{col 33}{space 2}  .075406{col 44}{space 1}    0.20{col 53}{space 3}0.839{col 61}{space 4}-.1324267{col 74}{space 3} .1631595
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0022144{col 33}{space 2} .0754303{col 44}{space 1}   -0.03{col 53}{space 3}0.977{col 61}{space 4}-.1500549{col 74}{space 3} .1456262
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} -.013113{col 33}{space 2} .0752449{col 44}{space 1}   -0.17{col 53}{space 3}0.862{col 61}{space 4}-.1605904{col 74}{space 3} .1343644
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1650494{col 33}{space 2} .0755741{col 44}{space 1}   -2.18{col 53}{space 3}0.029{col 61}{space 4}-.3131719{col 74}{space 3}-.0169269
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.3799635{col 33}{space 2} .0770578{col 44}{space 1}   -4.93{col 53}{space 3}0.000{col 61}{space 4} -.530994{col 74}{space 3} -.228933
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .1525283{col 33}{space 2} .0753876{col 44}{space 1}    2.02{col 53}{space 3}0.043{col 61}{space 4} .0047713{col 74}{space 3} .3002854
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (empty)
{space 17}3  {c |}{col 21}{res}{space 2}-.9226539{col 33}{space 2} .1747647{col 44}{space 1}   -5.28{col 53}{space 3}0.000{col 61}{space 4}-1.265186{col 74}{space 3}-.5801213
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.5543741{col 33}{space 2} .0978409{col 44}{space 1}   -5.67{col 53}{space 3}0.000{col 61}{space 4}-.7461388{col 74}{space 3}-.3626094
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2784742{col 33}{space 2} .1733944{col 44}{space 1}    1.61{col 53}{space 3}0.108{col 61}{space 4}-.0613727{col 74}{space 3}  .618321
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.6852941{col 33}{space 2} .1541136{col 44}{space 1}   -4.45{col 53}{space 3}0.000{col 61}{space 4}-.9873512{col 74}{space 3} -.383237
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.8386304{col 33}{space 2} .1235541{col 44}{space 1}   -6.79{col 53}{space 3}0.000{col 61}{space 4}-1.080792{col 74}{space 3}-.5964689
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.6939995{col 33}{space 2} .1203279{col 44}{space 1}   -5.77{col 53}{space 3}0.000{col 61}{space 4}-.9298378{col 74}{space 3}-.4581611
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}Warning: 2.io_fe perfectly predicts success or failure in refuse.
It will be dropped from the full model.
Perfectly predicted observations will be dropped from the estimation sample for this equation.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     2,270
{txt}{hline 13}{c +}{hline 34}   F(12, 2257)     = {res}     2.98
{txt}       Model {c |} {res} 6321.49015        12  526.790846   {txt}Prob > F        ={res}    0.0004
{txt}    Residual {c |} {res} 399384.451     2,257  176.953678   {txt}R-squared       ={res}    0.0156
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0103
{txt}       Total {c |} {res} 405705.941     2,269  178.803852   {txt}Root MSE        =   {res} 13.302

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0121376{col 33}{space 2}  .560205{col 44}{space 1}   -0.02{col 53}{space 3}0.983{col 61}{space 4}-1.110708{col 74}{space 3} 1.086433
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .5696113{col 33}{space 2}  .559716{col 44}{space 1}    1.02{col 53}{space 3}0.309{col 61}{space 4}-.5280005{col 74}{space 3} 1.667223
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.4881496{col 33}{space 2} .5602969{col 44}{space 1}   -0.87{col 53}{space 3}0.384{col 61}{space 4}-1.586901{col 74}{space 3} .6106015
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.7381052{col 33}{space 2} .5600108{col 44}{space 1}   -1.32{col 53}{space 3}0.188{col 61}{space 4}-1.836295{col 74}{space 3} .3600848
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 2.574962{col 33}{space 2} .5594894{col 44}{space 1}    4.60{col 53}{space 3}0.000{col 61}{space 4} 1.477795{col 74}{space 3}  3.67213
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .3679315{col 33}{space 2} .5591932{col 44}{space 1}    0.66{col 53}{space 3}0.511{col 61}{space 4}-.7286551{col 74}{space 3} 1.464518
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-4.792265{col 33}{space 2}  3.64772{col 44}{space 1}   -1.31{col 53}{space 3}0.189{col 61}{space 4} -11.9455{col 74}{space 3}  2.36097
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-1.305825{col 33}{space 2} 1.198377{col 44}{space 1}   -1.09{col 53}{space 3}0.276{col 61}{space 4}-3.655862{col 74}{space 3} 1.044212
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-1.614964{col 33}{space 2} .8927697{col 44}{space 1}   -1.81{col 53}{space 3}0.071{col 61}{space 4}-3.365699{col 74}{space 3} .1357715
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-3.386642{col 33}{space 2} 1.838401{col 44}{space 1}   -1.84{col 53}{space 3}0.066{col 61}{space 4}-6.991775{col 74}{space 3}   .21849
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-2.177003{col 33}{space 2} 1.196961{col 44}{space 1}   -1.82{col 53}{space 3}0.069{col 61}{space 4}-4.524262{col 74}{space 3} .1702565
{txt}{space 17}7  {c |}{col 21}{res}{space 2}-.0094065{col 33}{space 2} .9749208{col 44}{space 1}   -0.01{col 53}{space 3}0.992{col 61}{space 4}-1.921241{col 74}{space 3} 1.902428
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}  3.70395{col 33}{space 2} 1.034463{col 44}{space 1}    3.58{col 53}{space 3}0.000{col 61}{space 4} 1.675353{col 74}{space 3} 5.732548
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}amount_clean{res} equation appears ill-conditioned. (Condition number = 21.116111.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting constant-only model for LR test of overall model fit.

Fitting full model.

{txt}Iteration 0:{space 3}log likelihood = {res: -9757.673}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-9660.7103}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-9600.5378}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-9478.1247}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-9402.8832}  
Iteration 5:{space 3}log likelihood = {res:-9386.5419}  
Iteration 6:{space 3}log likelihood = {res:-9385.5059}  
Iteration 7:{space 3}log likelihood = {res:-9385.4719}  
Iteration 8:{space 3}log likelihood = {res:-9385.4718}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}     2,471
{txt}{col 49}LR chi2({res}23{txt}){col 67}= {res}     87.84
{txt}Log likelihood = {res}-9385.4718{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}refuse              {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0276238{col 33}{space 2} .0449453{col 44}{space 1}   -0.61{col 53}{space 3}0.539{col 61}{space 4} -.115715{col 74}{space 3} .0604674
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0211342{col 33}{space 2}  .044672{col 44}{space 1}   -0.47{col 53}{space 3}0.636{col 61}{space 4}-.1086897{col 74}{space 3} .0664214
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0263418{col 33}{space 2} .0445555{col 44}{space 1}    0.59{col 53}{space 3}0.554{col 61}{space 4}-.0609853{col 74}{space 3} .1136689
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0048002{col 33}{space 2} .0446205{col 44}{space 1}    0.11{col 53}{space 3}0.914{col 61}{space 4}-.0826544{col 74}{space 3} .0922548
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.2177909{col 33}{space 2} .0446185{col 44}{space 1}   -4.88{col 53}{space 3}0.000{col 61}{space 4}-.3052416{col 74}{space 3}-.1303403
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0122918{col 33}{space 2} .0445837{col 44}{space 1}    0.28{col 53}{space 3}0.783{col 61}{space 4}-.0750906{col 74}{space 3} .0996743
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 17}3  {c |}{col 21}{res}{space 2}-.2128333{col 33}{space 2} .1073635{col 44}{space 1}   -1.98{col 53}{space 3}0.047{col 61}{space 4}-.4232619{col 74}{space 3}-.0024048
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0762888{col 33}{space 2} .0667851{col 44}{space 1}   -1.14{col 53}{space 3}0.253{col 61}{space 4}-.2071852{col 74}{space 3} .0546077
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .2803564{col 33}{space 2} .1319082{col 44}{space 1}    2.13{col 53}{space 3}0.034{col 61}{space 4} .0218212{col 74}{space 3} .5388916
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.0936269{col 33}{space 2} .1021347{col 44}{space 1}   -0.92{col 53}{space 3}0.359{col 61}{space 4}-.2938073{col 74}{space 3} .1065535
{txt}{space 17}7  {c |}{col 21}{res}{space 2} -.246378{col 33}{space 2} .0753754{col 44}{space 1}   -3.27{col 53}{space 3}0.001{col 61}{space 4} -.394111{col 74}{space 3} -.098645
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-.1498865{col 33}{space 2} .0788323{col 44}{space 1}   -1.90{col 53}{space 3}0.057{col 61}{space 4} -.304395{col 74}{space 3}  .004622
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}amount_clean        {txt}{c |}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1713311{col 33}{space 2} .5527313{col 44}{space 1}   -0.31{col 53}{space 3}0.757{col 61}{space 4}-1.254665{col 74}{space 3} .9120024
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .6326581{col 33}{space 2} .5521867{col 44}{space 1}    1.15{col 53}{space 3}0.252{col 61}{space 4} -.449608{col 74}{space 3} 1.714924
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.3928294{col 33}{space 2} .5524273{col 44}{space 1}   -0.71{col 53}{space 3}0.477{col 61}{space 4}-1.475567{col 74}{space 3} .6899082
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.3454227{col 33}{space 2} .5523314{col 44}{space 1}   -0.63{col 53}{space 3}0.532{col 61}{space 4}-1.427972{col 74}{space 3} .7371269
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 3.284982{col 33}{space 2} .5517576{col 44}{space 1}    5.95{col 53}{space 3}0.000{col 61}{space 4} 2.203557{col 74}{space 3} 4.366407
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.0485467{col 33}{space 2} .5514448{col 44}{space 1}   -0.09{col 53}{space 3}0.930{col 61}{space 4}-1.129359{col 74}{space 3} 1.032265
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}2  {c |}{col 21}{res}{space 2}-2.180855{col 33}{space 2} 3.694494{col 44}{space 1}   -0.59{col 53}{space 3}0.555{col 61}{space 4} -9.42193{col 74}{space 3}  5.06022
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .6988956{col 33}{space 2} 1.175925{col 44}{space 1}    0.59{col 53}{space 3}0.552{col 61}{space 4}-1.605876{col 74}{space 3} 3.003667
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.1213004{col 33}{space 2} .8591607{col 44}{space 1}   -0.14{col 53}{space 3}0.888{col 61}{space 4}-1.805224{col 74}{space 3} 1.562624
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-4.077244{col 33}{space 2} 1.720338{col 44}{space 1}   -2.37{col 53}{space 3}0.018{col 61}{space 4}-7.449046{col 74}{space 3}-.7054433
{txt}{space 17}6  {c |}{col 21}{res}{space 2}-.4473736{col 33}{space 2} 1.169443{col 44}{space 1}   -0.38{col 53}{space 3}0.702{col 61}{space 4}-2.739441{col 74}{space 3} 1.844693
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 1.893168{col 33}{space 2} .9460081{col 44}{space 1}    2.00{col 53}{space 3}0.045{col 61}{space 4} .0390257{col 74}{space 3} 3.747309
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} .7602589{col 33}{space 2} 1.002087{col 44}{space 1}    0.76{col 53}{space 3}0.448{col 61}{space 4}-1.203795{col 74}{space 3} 2.724312
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
           /lnsig_2 {c |}{col 21}{res}{space 2} 2.603526{col 33}{space 2} .0149815{col 44}{space 1}  173.78{col 53}{space 3}0.000{col 61}{space 4} 2.574162{col 74}{space 3} 2.632889
{txt}       /atanhrho_12 {c |}{col 21}{res}{space 2}-2.958255{col 33}{space 2} .0925261{col 44}{space 1}  -31.97{col 53}{space 3}0.000{col 61}{space 4}-3.139602{col 74}{space 3}-2.776907
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sig_2 {c |}{col 21}{res}{space 2} 13.51129{col 33}{space 2}   .20242{col 61}{space 4} 13.12032{col 74}{space 3} 13.91391
{txt}             rho_12 {c |}{col 21}{res}{space 2}-.9946253{col 33}{space 2} .0009919{col 61}{space 4}-.9962572{col 74}{space 3}-.9922846
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins country sector project own_area length source i.io_fe, atmeans predict(eq(#2)) force post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,471
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(eq(#2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.country}{space 7}{txt:=} {space 3}.4904897 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.country}{space 7}{txt:=} {space 3}.5095103 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.sector}{space 8}{txt:=} {space 3}.5014164 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.sector}{space 8}{txt:=} {space 3}.4985836 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.project}{space 7}{txt:=} {space 3}.4973695 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.project}{space 7}{txt:=} {space 3}.5026305 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.own_area}{space 6}{txt:=} {space 3}.4884662 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.own_area}{space 6}{txt:=} {space 3}.5115338 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.length}{space 8}{txt:=} {space 3}.5034399 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.length}{space 8}{txt:=} {space 3}.4965601 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.source}{space 8}{txt:=} {space 3}.5091056 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.source}{space 8}{txt:=} {space 3}.4908944 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.io_fe}{space 9}{txt:=} {space 3}.1408337 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.io_fe}{space 9}{txt:=} {space 3}.0056657 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.io_fe}{space 9}{txt:=} {space 3}.0906516 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.io_fe}{space 9}{txt:=} {space 3}.4148118 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.io_fe}{space 9}{txt:=} {space 3}.0339943 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:6.io_fe}{space 9}{txt:=} {space 3}.0930797 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:7.io_fe}{space 9}{txt:=} {space 3}.2209632 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 2.547667{col 33}{space 2} .3942714{col 44}{space 1}    6.46{col 53}{space 3}0.000{col 61}{space 4} 1.774909{col 74}{space 3} 3.320425
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 2.376336{col 33}{space 2} .3872634{col 44}{space 1}    6.14{col 53}{space 3}0.000{col 61}{space 4} 1.617313{col 74}{space 3} 3.135358
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 2.144939{col 33}{space 2} .3902202{col 44}{space 1}    5.50{col 53}{space 3}0.000{col 61}{space 4} 1.380121{col 74}{space 3} 2.909756
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 2.777597{col 33}{space 2} .3908984{col 44}{space 1}    7.11{col 53}{space 3}0.000{col 61}{space 4}  2.01145{col 74}{space 3} 3.543744
{txt}{space 19} {c |}
{space 12}project {c |}
{space 16}No  {c |}{col 21}{res}{space 2}  2.65782{col 33}{space 2} .3917573{col 44}{space 1}    6.78{col 53}{space 3}0.000{col 61}{space 4}  1.88999{col 74}{space 3}  3.42565
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2}  2.26499{col 33}{space 2} .3895345{col 44}{space 1}    5.81{col 53}{space 3}0.000{col 61}{space 4} 1.501517{col 74}{space 3} 3.028464
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 16}No  {c |}{col 21}{res}{space 2} 2.637067{col 33}{space 2}  .395988{col 44}{space 1}    6.66{col 53}{space 3}0.000{col 61}{space 4} 1.860945{col 74}{space 3} 3.413189
{txt}{space 15}Yes  {c |}{col 21}{res}{space 2} 2.291644{col 33}{space 2} .3853024{col 44}{space 1}    5.95{col 53}{space 3}0.000{col 61}{space 4} 1.536466{col 74}{space 3} 3.046823
{txt}{space 19} {c |}
{space 13}length {c |}
{space 12}1 year  {c |}{col 21}{res}{space 2} .8291809{col 33}{space 2} .3914821{col 44}{space 1}    2.12{col 53}{space 3}0.034{col 61}{space 4}   .06189{col 74}{space 3} 1.596472
{txt}{space 11}3 years  {c |}{col 21}{res}{space 2} 4.114163{col 33}{space 2} .3893059{col 44}{space 1}   10.57{col 53}{space 3}0.000{col 61}{space 4} 3.351137{col 74}{space 3} 4.877188
{txt}{space 19} {c |}
{space 13}source {c |}
{space 6}Member state  {c |}{col 21}{res}{space 2} 2.484203{col 33}{space 2} .3857484{col 44}{space 1}    6.44{col 53}{space 3}0.000{col 61}{space 4}  1.72815{col 74}{space 3} 3.240256
{txt}Private foundation  {c |}{col 21}{res}{space 2} 2.435656{col 33}{space 2} .3948943{col 44}{space 1}    6.17{col 53}{space 3}0.000{col 61}{space 4} 1.661678{col 74}{space 3} 3.209635
{txt}{space 19} {c |}
{space 14}io_fe {c |}
{space 17}1  {c |}{col 21}{res}{space 2} 2.221613{col 33}{space 2} .7459636{col 44}{space 1}    2.98{col 53}{space 3}0.003{col 61}{space 4} .7595513{col 74}{space 3} 3.683675
{txt}{space 17}2  {c |}{col 21}{res}{space 2}  .040758{col 33}{space 2} 3.618284{col 44}{space 1}    0.01{col 53}{space 3}0.991{col 61}{space 4}-7.050949{col 74}{space 3} 7.132465
{txt}{space 17}3  {c |}{col 21}{res}{space 2} 2.920509{col 33}{space 2} .9092596{col 44}{space 1}    3.21{col 53}{space 3}0.001{col 61}{space 4} 1.138393{col 74}{space 3} 4.702625
{txt}{space 17}4  {c |}{col 21}{res}{space 2} 2.100313{col 33}{space 2} .4277765{col 44}{space 1}    4.91{col 53}{space 3}0.000{col 61}{space 4} 1.261886{col 74}{space 3} 2.938739
{txt}{space 17}5  {c |}{col 21}{res}{space 2}-1.855631{col 33}{space 2} 1.551589{col 44}{space 1}   -1.20{col 53}{space 3}0.232{col 61}{space 4} -4.89669{col 74}{space 3} 1.185427
{txt}{space 17}6  {c |}{col 21}{res}{space 2} 1.774239{col 33}{space 2} .9012809{col 44}{space 1}    1.97{col 53}{space 3}0.049{col 61}{space 4} .0077613{col 74}{space 3} 3.540718
{txt}{space 17}7  {c |}{col 21}{res}{space 2} 4.114781{col 33}{space 2} .5823247{col 44}{space 1}    7.07{col 53}{space 3}0.000{col 61}{space 4} 2.973445{col 74}{space 3} 5.256116
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo amount2
{txt}
{com}. 
. *Coefficient plot
. 
. *overhead
. coefplot overhead1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot overhead2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(overhead2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. *amount
. coefplot amount1 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount1, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(0.05)0.3)
{res}{txt}
{com}. 
. coefplot amount2 , xtitle(Marginal Means) scheme(plotplainblind)  drop(*io_fe) name(amount2, replace) headings(0.country = "{c -(}bf:Earmarked to country{c )-}" 0.sector = "{c -(}bf:Earmarked to sector{c )-}" 0.project = "{c -(}bf:Earmarked to project{c )-}" 0.own_area = "{c -(}bf:Earmarked to workarea{c )-}" 0.length = "{c -(}bf:Length{c )-}" 0.source = "{c -(}bf:Donor{c )-}" )  xlabel(0(2)20)
{res}{txt}
{com}. 
. graph combine amount2 overhead2, scheme(plotplainblind) 
{res}{txt}
{com}. 
. *******************************
. *Figure A5: Benjamini-Hochberg*
. *******************************
. 
. *to get the BH estimates, rank the outputs by p-value and calculate the BH value using: (i/m)Q, where: i = the individual p-value's rank, m = total number of tests, Q = the false discovery rate (0.05)
. 
. reghdfe refuse  i.country i.sector i.project i.own_area i.length i.source  , absorb(q26)  vce(cluster id)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     3,777
{txt}Absorbing 1 HDFE group{col 51}F({res}   6{txt},{res}    275{txt}){col 67}= {res}      3.87
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0010
{txt}{col 51}R-squared{col 67}= {res}    0.0253
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0222
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0084
{txt}{col 1}Number of clusters ({res}id{txt}) {col 30}= {res}       276{txt}{col 51}Root MSE{col 67}= {res}    0.3188

{txt}{ralign 85:(Std. Err. adjusted for {res:276} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}             refuse{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0151412{col 33}{space 2} .0119905{col 44}{space 1}   -1.26{col 53}{space 3}0.208{col 61}{space 4} -.038746{col 74}{space 3} .0084636
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0021123{col 33}{space 2} .0118436{col 44}{space 1}   -0.18{col 53}{space 3}0.859{col 61}{space 4} -.025428{col 74}{space 3} .0212034
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0047392{col 33}{space 2} .0122674{col 44}{space 1}    0.39{col 53}{space 3}0.700{col 61}{space 4}-.0194107{col 74}{space 3} .0288892
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0267607{col 33}{space 2} .0128164{col 44}{space 1}   -2.09{col 53}{space 3}0.038{col 61}{space 4}-.0519915{col 74}{space 3}  -.00153
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2}-.0411227{col 33}{space 2} .0131541{col 44}{space 1}   -3.13{col 53}{space 3}0.002{col 61}{space 4}-.0670183{col 74}{space 3} -.015227
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2} .0271724{col 33}{space 2} .0102539{col 44}{space 1}    2.65{col 53}{space 3}0.009{col 61}{space 4} .0069863{col 74}{space 3} .0473584
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .1447682{col 33}{space 2} .0206134{col 44}{space 1}    7.02{col 53}{space 3}0.000{col 61}{space 4}  .104188{col 74}{space 3} .1853484
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}         q26{col 14}{c |}{space 1}        7{col 27}{space 1}        0{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. estimates store m1, title()
{txt}
{com}. 
. reghdfe overhead_clean  i.country i.sector i.project i.own_area i.length i.source  , absorb(q26)  vce(cluster id)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     3,517
{txt}Absorbing 1 HDFE group{col 51}F({res}   6{txt},{res}    274{txt}){col 67}= {res}      0.62
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.7172
{txt}{col 51}R-squared{col 67}= {res}    0.0594
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0562
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0013
{txt}{col 1}Number of clusters ({res}id{txt}) {col 30}= {res}       275{txt}{col 51}Root MSE{col 67}= {res}   17.3427

{txt}{ralign 85:(Std. Err. adjusted for {res:275} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}     overhead_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1891472{col 33}{space 2} .5162094{col 44}{space 1}   -0.37{col 53}{space 3}0.714{col 61}{space 4}-1.205388{col 74}{space 3} .8270934
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .7697317{col 33}{space 2} .6870151{col 44}{space 1}    1.12{col 53}{space 3}0.264{col 61}{space 4}-.5827672{col 74}{space 3} 2.122231
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.2618454{col 33}{space 2} .5402368{col 44}{space 1}   -0.48{col 53}{space 3}0.628{col 61}{space 4}-1.325388{col 74}{space 3}  .801697
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}  -.00318{col 33}{space 2} .6519205{col 44}{space 1}   -0.00{col 53}{space 3}0.996{col 61}{space 4}-1.286589{col 74}{space 3}  1.28023
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .3977909{col 33}{space 2} .4994743{col 44}{space 1}    0.80{col 53}{space 3}0.426{col 61}{space 4}-.5855041{col 74}{space 3} 1.381086
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.8551153{col 33}{space 2} .6740144{col 44}{space 1}   -1.27{col 53}{space 3}0.206{col 61}{space 4} -2.18202{col 74}{space 3} .4717896
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} 15.75786{col 33}{space 2} 1.274292{col 44}{space 1}   12.37{col 53}{space 3}0.000{col 61}{space 4} 13.24922{col 74}{space 3} 18.26651
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}         q26{col 14}{c |}{space 1}        7{col 27}{space 1}        0{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. estimates store m2, title()
{txt}
{com}. 
. reghdfe amount_clean  i.country i.sector i.project i.own_area i.length i.source  , absorb(q26)  vce(cluster id)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     3,421
{txt}Absorbing 1 HDFE group{col 51}F({res}   6{txt},{res}    272{txt}){col 67}= {res}      3.56
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0021
{txt}{col 51}R-squared{col 67}= {res}    0.0133
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0098
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0020
{txt}{col 1}Number of clusters ({res}id{txt}) {col 30}= {res}       273{txt}{col 51}Root MSE{col 67}= {res}   35.1514

{txt}{ralign 85:(Std. Err. adjusted for {res:273} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       amount_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .2076079{col 33}{space 2} 1.802987{col 44}{space 1}    0.12{col 53}{space 3}0.908{col 61}{space 4}-3.341976{col 74}{space 3} 3.757192
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} 1.623056{col 33}{space 2} 1.408495{col 44}{space 1}    1.15{col 53}{space 3}0.250{col 61}{space 4}-1.149882{col 74}{space 3} 4.395994
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.1958866{col 33}{space 2} 1.402686{col 44}{space 1}   -0.14{col 53}{space 3}0.889{col 61}{space 4}-2.957387{col 74}{space 3} 2.565614
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2}-.0614894{col 33}{space 2} 1.532168{col 44}{space 1}   -0.04{col 53}{space 3}0.968{col 61}{space 4}-3.077905{col 74}{space 3} 2.954926
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} 1.412889{col 33}{space 2} .8815404{col 44}{space 1}    1.60{col 53}{space 3}0.110{col 61}{space 4}-.3226209{col 74}{space 3} 3.148398
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}  2.21592{col 33}{space 2} 1.417055{col 44}{space 1}    1.56{col 53}{space 3}0.119{col 61}{space 4}-.5738693{col 74}{space 3}  5.00571
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}   5.2138{col 33}{space 2} 3.134011{col 44}{space 1}    1.66{col 53}{space 3}0.097{col 61}{space 4} -.956202{col 74}{space 3}  11.3838
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}         q26{col 14}{c |}{space 1}        7{col 27}{space 1}        0{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. estimates store m3, title()
{txt}
{com}. 
. reghdfe choicevar_clean  i.country i.sector i.project i.own_area i.length i.source  , absorb(q26)  vce(cluster id)
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 1 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     3,920
{txt}Absorbing 1 HDFE group{col 51}F({res}   6{txt},{res}    279{txt}){col 67}= {res}     22.41
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0428
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0399
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0428
{txt}{col 1}Number of clusters ({res}id{txt}) {col 30}= {res}       280{txt}{col 51}Root MSE{col 67}= {res}    0.4900

{txt}{ralign 85:(Std. Err. adjusted for {res:280} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}    choicevar_clean{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}country {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0058917{col 33}{space 2} .0184676{col 44}{space 1}    0.32{col 53}{space 3}0.750{col 61}{space 4}-.0304619{col 74}{space 3} .0422453
{txt}{space 19} {c |}
{space 13}sector {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0454119{col 33}{space 2} .0177386{col 44}{space 1}    2.56{col 53}{space 3}0.011{col 61}{space 4} .0104935{col 74}{space 3} .0803303
{txt}{space 19} {c |}
{space 12}project {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0102345{col 33}{space 2}   .01813{col 44}{space 1}    0.56{col 53}{space 3}0.573{col 61}{space 4}-.0254545{col 74}{space 3} .0459234
{txt}{space 19} {c |}
{space 11}own_area {c |}
{space 15}Yes  {c |}{col 21}{res}{space 2} .0803311{col 33}{space 2} .0174537{col 44}{space 1}    4.60{col 53}{space 3}0.000{col 61}{space 4} .0459735{col 74}{space 3} .1146887
{txt}{space 19} {c |}
{space 13}length {c |}
{space 11}3 years  {c |}{col 21}{res}{space 2} .1811308{col 33}{space 2} .0196546{col 44}{space 1}    9.22{col 53}{space 3}0.000{col 61}{space 4} .1424407{col 74}{space 3} .2198209
{txt}{space 19} {c |}
{space 13}source {c |}
Private foundation  {c |}{col 21}{res}{space 2}-.0329957{col 33}{space 2}  .018405{col 44}{space 1}   -1.79{col 53}{space 3}0.074{col 61}{space 4} -.069226{col 74}{space 3} .0032346
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .3542745{col 33}{space 2} .0219185{col 44}{space 1}   16.16{col 53}{space 3}0.000{col 61}{space 4} .3111278{col 74}{space 3} .3974212
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}         q26{col 14}{c |}{space 1}        7{col 27}{space 1}        0{col 39}{result}{space 1}        7{col 53}{text} {col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
{res}{txt}
{com}. estimates store m4, title()
{txt}
{com}. 
. esttab m1 m2 m3 m4  using BH_TableA5.rtf, star(* 0.05  + 0.006) b(4) ///
> p r2 label drop(_cons)  indicate(`r(indicate_fe)') 
{res}{txt}(output written to {browse  `"BH_TableA5.rtf"'})

{com}. 
. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/mirkoheinzel/Documents/Publications/Multi-bi/Survey/Survey_staff/JOP/1_submission/RR/CA/Post-accept/Replication_Final/Heinzel_Reinsberg_Siauwijaya_24_ACCEPT.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}20 Dec 2024, 09:38:06
{txt}{.-}
{smcl}
{txt}{sf}{ul off}